From ccde54312e9bb2b40605e6a784a7d55aafbc0f85 Mon Sep 17 00:00:00 2001
From: cgpu <38183826+cgpu@users.noreply.github.com>
Date: Sun, 10 May 2020 20:33:18 +0100
Subject: [PATCH] Adds piggyback data fetch from GitHub release (#123)

---
 Rmd/summary_per_tissue_diff_expressed.Rmd     |  61 +-
 .../summary_per_tissue_diff_expressed.ipynb   | 625 ++++++++++--------
 2 files changed, 414 insertions(+), 272 deletions(-)

diff --git a/Rmd/summary_per_tissue_diff_expressed.Rmd b/Rmd/summary_per_tissue_diff_expressed.Rmd
index 231934b..a01d7b6 100644
--- a/Rmd/summary_per_tissue_diff_expressed.Rmd
+++ b/Rmd/summary_per_tissue_diff_expressed.Rmd
@@ -5,7 +5,7 @@ jupyter:
       extension: .Rmd
       format_name: rmarkdown
       format_version: '1.2'
-      jupytext_version: 1.4.1
+      jupytext_version: 1.4.2
   kernelspec:
     display_name: R
     language: R
@@ -36,6 +36,63 @@ library(dplyr)
 library(tidyr)
 library(reshape)
 library(ggplot2)
+# Install this version: > devtools::install_github("ropensci/piggyback@87f71e8", upgrade="never")
+library(piggyback)
+library(snakecase)
+```
+
+# Retrieving the results from the Differential Gene Expression using [`ropensci/piggyback`](https://github.com/ropensci/piggyback)
+
+This notebook requires as input data the limma `topTable()` objects from the Differential Gene Expression analysis (see [figure1.ipynb](https://github.com/TheJacksonLaboratory/sbas/blob/master/jupyter/figure1.ipynb)). We have archived the results from the notebook that generates the results using the method described by the author of the R package [`ropensci/piggyback`](https://github.com/ropensci/piggyback). We use the release named `dge` (Differential Gene Expression) in the repo and can be accessed at [TheJacksonLaboratory/sbas/releases/tag/dge](https://github.com/TheJacksonLaboratory/sbas/releases/tag/dge). 
+
+For using the [`ropensci/piggyback`](https://github.com/ropensci/piggyback) with private repositories, it is required that a `GITHUB_TOKEN` is stored as a variable in the r environment one is working. To generate such a token with sensible default permissions, the R package [usethis]() has a convenient function 
+
+```R
+# intall.packages("usethis")
+usethis::browse_github_token()
+```
+
+This will redirect you to GitHub to create your own GitHub token. Once you have the token, you can use it to set up `.Renviron` by typing the following:
+
+```R
+Sys.setenv(GITHUB_TOKEN = "youractualtokenindoublequotes")
+```
+
+Then you sre ready to use the function [`piggyback::pb_download()`](https://docs.ropensci.org/piggyback/reference/pb_download.html) to retrieve the `dge.tar.gz` that contains the topTable objects written as .csv file for all 46 examined GTEX tissue cohorts.
+
+---
+
+***NOTE***
+
+Avoid using the `.token` argument to share your token directly in the function as you might forget and push your code, along with your private GITHUB_TOKEN to GitHub. If that happens by mistake, it is advised you invalidate the token that has been exposed by accessing [this link](https://github.com/settings/tokens) and clicking `Delete`.
+
+---
+
+```{r}
+#?piggyback::pb_download()
+```
+
+```{r}
+if (!file.exists("../data/dge.tar.gz ")) {
+    
+    message("Fetching dge.tar.gz from GitHub ..")
+    # Download archive from GitHub release with tag "dge"
+    piggyback::pb_download(file = "dge.tar.gz",
+                           dest = "../data",
+                           repo = "TheJacksonLaboratory/sbas",
+                           tag  = "dge",
+                           show_progress = TRUE)
+    message("Done!\n")
+    
+    message("Decompressing archive into folder ../data/dge ..")
+    # Decompress in a folder tmp named dge
+    system("mkdir -p ../data/dge && tar xvzf ../data/dge.tar.gz -C ../data/dge/", intern = TRUE)
+    message("Done!\n")
+}
+if (file.exists("../data/dge.tar.gz ")) {
+    message("File dge.tar.gz already available in ../data/ !\n")
+    }
+
 ```
 
 <!-- #region -->
@@ -76,7 +133,7 @@ To make sure the snippets above have worked as expected, take a look in the tabl
 
 ```{r}
 ensembl_path <- "Homo_sapiens.GRCh38.100.chr_patch_hapl_scaff.gtf.gz.txt"
-gencode_path <- "gencode.v34.chr_patch_hapl_scaff.annotation.gtf.gz.txt"
+gencode_path <- "gencode.v30.chr_patch_hapl_scaff.annotation.gtf.gz.txt"
 gtf_ensembl <- read.table(paste0("../data/", ensembl_path), header = TRUE)
 gtf_gencode <- read.table(paste0("../data/", gencode_path), header = TRUE)
 
diff --git a/jupyter/summary_per_tissue_diff_expressed.ipynb b/jupyter/summary_per_tissue_diff_expressed.ipynb
index 11ff218..ff2c7f2 100644
--- a/jupyter/summary_per_tissue_diff_expressed.ipynb
+++ b/jupyter/summary_per_tissue_diff_expressed.ipynb
@@ -33,51 +33,117 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "library(dplyr)\n",
+    "library(tidyr)\n",
+    "library(reshape)\n",
+    "library(ggplot2)\n",
+    "# Install this version: > devtools::install_github(\"ropensci/piggyback@87f71e8\", upgrade=\"never\")\n",
+    "library(piggyback)\n",
+    "library(snakecase)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Retrieving the results from the Differential Gene Expression using [`ropensci/piggyback`](https://github.com/ropensci/piggyback)\n",
+    "\n",
+    "This notebook requires as input data the limma `topTable()` objects from the Differential Gene Expression analysis (see [figure1.ipynb](https://github.com/TheJacksonLaboratory/sbas/blob/master/jupyter/figure1.ipynb)). We have archived the results from the notebook that generates the results using the method described by the author of the R package [`ropensci/piggyback`](https://github.com/ropensci/piggyback). We use the release named `dge` (Differential Gene Expression) in the repo and can be accessed at [TheJacksonLaboratory/sbas/releases/tag/dge](https://github.com/TheJacksonLaboratory/sbas/releases/tag/dge). \n",
+    "\n",
+    "For using the [`ropensci/piggyback`](https://github.com/ropensci/piggyback) with private repositories, it is required that a `GITHUB_TOKEN` is stored as a variable in the r environment one is working. To generate such a token with sensible default permissions, the R package [usethis]() has a convenient function \n",
+    "\n",
+    "```R\n",
+    "# intall.packages(\"usethis\")\n",
+    "usethis::browse_github_token()\n",
+    "```\n",
+    "\n",
+    "This will redirect you to GitHub to create your own GitHub token. Once you have the token, you can use it to set up `.Renviron` by typing the following:\n",
+    "\n",
+    "```R\n",
+    "Sys.setenv(GITHUB_TOKEN = \"youractualtokenindoublequotes\")\n",
+    "```\n",
+    "\n",
+    "Then you sre ready to use the function [`piggyback::pb_download()`](https://docs.ropensci.org/piggyback/reference/pb_download.html) to retrieve the `dge.tar.gz` that contains the topTable objects written as .csv file for all 46 examined GTEX tissue cohorts.\n",
+    "\n",
+    "---\n",
+    "\n",
+    "***NOTE***\n",
+    "\n",
+    "Avoid using the `.token` argument to share your token directly in the function as you might forget and push your code, along with your private GITHUB_TOKEN to GitHub. If that happens by mistake, it is advised you invalidate the token that has been exposed by accessing [this link](https://github.com/settings/tokens) and clicking `Delete`.\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#?piggyback::pb_download()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
+      "Fetching dge.tar.gz from GitHub ..\n",
       "\n",
-      "Attaching package: ‘dplyr’\n",
-      "\n",
-      "\n",
-      "The following objects are masked from ‘package:stats’:\n",
-      "\n",
-      "    filter, lag\n",
-      "\n",
-      "\n",
-      "The following objects are masked from ‘package:base’:\n",
-      "\n",
-      "    intersect, setdiff, setequal, union\n",
-      "\n",
-      "\n",
-      "\n",
-      "Attaching package: ‘reshape’\n",
-      "\n",
-      "\n",
-      "The following objects are masked from ‘package:tidyr’:\n",
-      "\n",
-      "    expand, smiths\n",
-      "\n",
+      "downloading dge.tar.gz ...\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "  |======================================================================| 100%\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Done!\n",
       "\n",
-      "The following object is masked from ‘package:dplyr’:\n",
       "\n",
-      "    rename\n",
+      "Decompressing archive into folder ../data/dge ..\n",
       "\n",
+      "Done!\n",
       "\n",
-      "Warning message:\n",
-      "“package ‘ggplot2’ was built under R version 3.6.3”\n"
+      "\n"
      ]
     }
    ],
    "source": [
-    "library(dplyr)\n",
-    "library(tidyr)\n",
-    "library(reshape)\n",
-    "library(ggplot2)"
+    "if (!file.exists(\"../data/dge.tar.gz \")) {\n",
+    "    \n",
+    "    message(\"Fetching dge.tar.gz from GitHub ..\")\n",
+    "    # Download archive from GitHub release with tag \"dge\"\n",
+    "    piggyback::pb_download(file = \"dge.tar.gz\",\n",
+    "                           dest = \"../data\",\n",
+    "                           repo = \"TheJacksonLaboratory/sbas\",\n",
+    "                           tag  = \"dge\",\n",
+    "                           show_progress = TRUE)\n",
+    "    message(\"Done!\\n\")\n",
+    "    \n",
+    "    message(\"Decompressing archive into folder ../data/dge ..\")\n",
+    "    # Decompress in a folder tmp named dge\n",
+    "    system(\"mkdir -p ../data/dge && tar xvzf ../data/dge.tar.gz -C ../data/dge/\", intern = TRUE)\n",
+    "    message(\"Done!\\n\")\n",
+    "}\n",
+    "if (file.exists(\"../data/dge.tar.gz \")) {\n",
+    "    message(\"File dge.tar.gz already available in ../data/ !\\n\")\n",
+    "    }\n"
    ]
   },
   {
@@ -126,7 +192,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
@@ -226,7 +292,7 @@
    ],
    "source": [
     "ensembl_path <- \"Homo_sapiens.GRCh38.100.chr_patch_hapl_scaff.gtf.gz.txt\"\n",
-    "gencode_path <- \"gencode.v34.chr_patch_hapl_scaff.annotation.gtf.gz.txt\"\n",
+    "gencode_path <- \"gencode.v30.chr_patch_hapl_scaff.annotation.gtf.gz.txt\"\n",
     "gtf_ensembl <- read.table(paste0(\"../data/\", ensembl_path), header = TRUE)\n",
     "gtf_gencode <- read.table(paste0(\"../data/\", gencode_path), header = TRUE)\n",
     "\n",
@@ -250,7 +316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -260,7 +326,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -277,7 +343,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [
     {
@@ -305,7 +371,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [
     {
@@ -378,7 +444,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -403,7 +469,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [
     {
@@ -562,7 +628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -579,7 +645,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -590,7 +656,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -610,7 +676,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [
     {
@@ -694,7 +760,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -703,7 +769,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 69,
    "metadata": {},
    "outputs": [
     {
@@ -760,7 +826,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 70,
    "metadata": {},
    "outputs": [
     {
@@ -878,7 +944,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [
     {
@@ -900,7 +966,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -910,7 +976,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 73,
    "metadata": {},
    "outputs": [
     {
@@ -967,7 +1033,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 74,
    "metadata": {},
    "outputs": [
     {
@@ -1043,7 +1109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 75,
    "metadata": {},
    "outputs": [
     {
@@ -1109,7 +1175,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 76,
    "metadata": {},
    "outputs": [
     {
@@ -1265,7 +1331,7 @@
        "</thead>\n",
        "<tbody>\n",
        "\t<tr><th scope=row>1</th><td>-9.668735</td><td>4.643844</td><td>-145.5404</td><td>0</td><td>0</td><td>1136.058</td><td>ENSG00000129824.15</td><td>ENSG00000129824</td><td>9.668735</td><td>-813.9156</td><td>lower </td><td>RPS4Y1</td><td>chrY</td><td> 2841602</td><td> 2932000</td><td>protein_coding</td><td>+</td><td>90398</td><td>Adipose-Subcutaneous</td></tr>\n",
-       "\t<tr><th scope=row>2</th><td> 9.907847</td><td>1.246117</td><td> 131.3680</td><td>0</td><td>0</td><td>1079.040</td><td>ENSG00000229807.10</td><td>ENSG00000229807</td><td>9.907847</td><td> 960.6365</td><td>higher</td><td>XIST  </td><td>chrX</td><td>73820649</td><td>73852723</td><td>lncRNA        </td><td>-</td><td>32074</td><td>Adipose-Subcutaneous</td></tr>\n",
+       "\t<tr><th scope=row>2</th><td> 9.907847</td><td>1.246117</td><td> 131.3680</td><td>0</td><td>0</td><td>1079.040</td><td>ENSG00000229807.10</td><td>ENSG00000229807</td><td>9.907847</td><td> 960.6365</td><td>higher</td><td>XIST  </td><td>chrX</td><td>73820651</td><td>73852723</td><td>lincRNA       </td><td>-</td><td>32072</td><td>Adipose-Subcutaneous</td></tr>\n",
        "</tbody>\n",
        "</table>\n"
       ],
@@ -1276,7 +1342,7 @@
        "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <chr> & <chr> & <dbl> & <dbl> & <chr> & <fct> & <fct> & <int> & <int> & <fct> & <fct> & <int> & <chr>\\\\\n",
        "\\hline\n",
        "\t1 & -9.668735 & 4.643844 & -145.5404 & 0 & 0 & 1136.058 & ENSG00000129824.15 & ENSG00000129824 & 9.668735 & -813.9156 & lower  & RPS4Y1 & chrY &  2841602 &  2932000 & protein\\_coding & + & 90398 & Adipose-Subcutaneous\\\\\n",
-       "\t2 &  9.907847 & 1.246117 &  131.3680 & 0 & 0 & 1079.040 & ENSG00000229807.10 & ENSG00000229807 & 9.907847 &  960.6365 & higher & XIST   & chrX & 73820649 & 73852723 & lncRNA         & - & 32074 & Adipose-Subcutaneous\\\\\n",
+       "\t2 &  9.907847 & 1.246117 &  131.3680 & 0 & 0 & 1079.040 & ENSG00000229807.10 & ENSG00000229807 & 9.907847 &  960.6365 & higher & XIST   & chrX & 73820651 & 73852723 & lincRNA        & - & 32072 & Adipose-Subcutaneous\\\\\n",
        "\\end{tabular}\n"
       ],
       "text/markdown": [
@@ -1286,7 +1352,7 @@
        "| <!--/--> | logFC &lt;dbl&gt; | AveExpr &lt;dbl&gt; | t &lt;dbl&gt; | P.Value &lt;dbl&gt; | adj.P.Val &lt;dbl&gt; | B &lt;dbl&gt; | initial_Geneid &lt;chr&gt; | Geneid &lt;chr&gt; | abs_logFC &lt;dbl&gt; | FoldChange_dummy &lt;dbl&gt; | abundance &lt;chr&gt; | GeneSymbol &lt;fct&gt; | Chromosome &lt;fct&gt; | Start &lt;int&gt; | End &lt;int&gt; | Class &lt;fct&gt; | Strand &lt;fct&gt; | Length &lt;int&gt; | tissue &lt;chr&gt; |\n",
        "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
        "| 1 | -9.668735 | 4.643844 | -145.5404 | 0 | 0 | 1136.058 | ENSG00000129824.15 | ENSG00000129824 | 9.668735 | -813.9156 | lower  | RPS4Y1 | chrY |  2841602 |  2932000 | protein_coding | + | 90398 | Adipose-Subcutaneous |\n",
-       "| 2 |  9.907847 | 1.246117 |  131.3680 | 0 | 0 | 1079.040 | ENSG00000229807.10 | ENSG00000229807 | 9.907847 |  960.6365 | higher | XIST   | chrX | 73820649 | 73852723 | lncRNA         | - | 32074 | Adipose-Subcutaneous |\n",
+       "| 2 |  9.907847 | 1.246117 |  131.3680 | 0 | 0 | 1079.040 | ENSG00000229807.10 | ENSG00000229807 | 9.907847 |  960.6365 | higher | XIST   | chrX | 73820651 | 73852723 | lincRNA        | - | 32072 | Adipose-Subcutaneous |\n",
        "\n"
       ],
       "text/plain": [
@@ -1298,7 +1364,7 @@
        "2 ENSG00000229807 9.907847   960.6365        higher    XIST       chrX      \n",
        "  Start    End      Class          Strand Length tissue              \n",
        "1  2841602  2932000 protein_coding +      90398  Adipose-Subcutaneous\n",
-       "2 73820649 73852723 lncRNA         -      32074  Adipose-Subcutaneous"
+       "2 73820651 73852723 lincRNA        -      32072  Adipose-Subcutaneous"
       ]
      },
      "metadata": {},
@@ -1398,7 +1464,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [
     {
@@ -1461,7 +1527,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [
     {
@@ -1519,12 +1585,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 79,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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6C5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\nJZxrhDwqRogAAAAASUVORK5CYII=",
       "text/plain": [
        "plot without title"
       ]
@@ -1587,7 +1653,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 80,
    "metadata": {},
    "outputs": [
     {
@@ -1607,7 +1673,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 81,
    "metadata": {},
    "outputs": [
     {
@@ -1621,9 +1687,9 @@
        "</thead>\n",
        "<tbody>\n",
        "\t<tr><th scope=row>1</th><td>ENSG00000129824.15</td><td>RPS4Y1</td><td>-9.668735</td><td>0</td><td>lower </td><td>males  </td><td>Adipose-Subcutaneous</td><td>chrY</td><td>ENSG00000129824</td><td>9.668735</td><td>-813.9156</td><td>protein_coding</td><td>+</td><td>chrY</td><td> 4.6438444</td><td>-145.5404</td><td>0</td><td>0</td><td>1136.0576</td></tr>\n",
-       "\t<tr><th scope=row>2</th><td>ENSG00000229807.10</td><td>XIST  </td><td> 9.907847</td><td>0</td><td>higher</td><td>females</td><td>Adipose-Subcutaneous</td><td>chrX</td><td>ENSG00000229807</td><td>9.907847</td><td> 960.6365</td><td>lncRNA        </td><td>-</td><td>chrX</td><td> 1.2461171</td><td> 131.3680</td><td>0</td><td>0</td><td>1079.0402</td></tr>\n",
+       "\t<tr><th scope=row>2</th><td>ENSG00000229807.10</td><td>XIST  </td><td> 9.907847</td><td>0</td><td>higher</td><td>females</td><td>Adipose-Subcutaneous</td><td>chrX</td><td>ENSG00000229807</td><td>9.907847</td><td> 960.6365</td><td>lincRNA       </td><td>-</td><td>chrX</td><td> 1.2461171</td><td> 131.3680</td><td>0</td><td>0</td><td>1079.0402</td></tr>\n",
        "\t<tr><th scope=row>3</th><td>ENSG00000067048.16</td><td>DDX3Y </td><td>-9.698380</td><td>0</td><td>lower </td><td>males  </td><td>Adipose-Subcutaneous</td><td>chrY</td><td>ENSG00000067048</td><td>9.698380</td><td>-830.8129</td><td>protein_coding</td><td>+</td><td>chrY</td><td> 3.7021122</td><td>-108.3868</td><td>0</td><td>0</td><td> 952.4945</td></tr>\n",
-       "\t<tr><th scope=row>4</th><td>ENSG00000176728.7 </td><td>TTTY14</td><td>-8.082798</td><td>0</td><td>lower </td><td>males  </td><td>Adipose-Subcutaneous</td><td>chrY</td><td>ENSG00000176728</td><td>8.082798</td><td>-271.1219</td><td>lncRNA        </td><td>-</td><td>chrY</td><td>-0.9202562</td><td>-105.5946</td><td>0</td><td>0</td><td> 922.2647</td></tr>\n",
+       "\t<tr><th scope=row>4</th><td>ENSG00000176728.7 </td><td>TTTY14</td><td>-8.082798</td><td>0</td><td>lower </td><td>males  </td><td>Adipose-Subcutaneous</td><td>chrY</td><td>ENSG00000176728</td><td>8.082798</td><td>-271.1219</td><td>lincRNA       </td><td>-</td><td>chrY</td><td>-0.9202562</td><td>-105.5946</td><td>0</td><td>0</td><td> 922.2647</td></tr>\n",
        "</tbody>\n",
        "</table>\n"
       ],
@@ -1634,9 +1700,9 @@
        "  & <chr> & <fct> & <dbl> & <dbl> & <chr> & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <fct> & <fct> & <fct> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
        "\\hline\n",
        "\t1 & ENSG00000129824.15 & RPS4Y1 & -9.668735 & 0 & lower  & males   & Adipose-Subcutaneous & chrY & ENSG00000129824 & 9.668735 & -813.9156 & protein\\_coding & + & chrY &  4.6438444 & -145.5404 & 0 & 0 & 1136.0576\\\\\n",
-       "\t2 & ENSG00000229807.10 & XIST   &  9.907847 & 0 & higher & females & Adipose-Subcutaneous & chrX & ENSG00000229807 & 9.907847 &  960.6365 & lncRNA         & - & chrX &  1.2461171 &  131.3680 & 0 & 0 & 1079.0402\\\\\n",
+       "\t2 & ENSG00000229807.10 & XIST   &  9.907847 & 0 & higher & females & Adipose-Subcutaneous & chrX & ENSG00000229807 & 9.907847 &  960.6365 & lincRNA        & - & chrX &  1.2461171 &  131.3680 & 0 & 0 & 1079.0402\\\\\n",
        "\t3 & ENSG00000067048.16 & DDX3Y  & -9.698380 & 0 & lower  & males   & Adipose-Subcutaneous & chrY & ENSG00000067048 & 9.698380 & -830.8129 & protein\\_coding & + & chrY &  3.7021122 & -108.3868 & 0 & 0 &  952.4945\\\\\n",
-       "\t4 & ENSG00000176728.7  & TTTY14 & -8.082798 & 0 & lower  & males   & Adipose-Subcutaneous & chrY & ENSG00000176728 & 8.082798 & -271.1219 & lncRNA         & - & chrY & -0.9202562 & -105.5946 & 0 & 0 &  922.2647\\\\\n",
+       "\t4 & ENSG00000176728.7  & TTTY14 & -8.082798 & 0 & lower  & males   & Adipose-Subcutaneous & chrY & ENSG00000176728 & 8.082798 & -271.1219 & lincRNA        & - & chrY & -0.9202562 & -105.5946 & 0 & 0 &  922.2647\\\\\n",
        "\\end{tabular}\n"
       ],
       "text/markdown": [
@@ -1646,9 +1712,9 @@
        "| <!--/--> | initial_Geneid &lt;chr&gt; | GeneSymbol &lt;fct&gt; | logFC &lt;dbl&gt; | adj.P.Val &lt;dbl&gt; | abundance &lt;chr&gt; | higher_in &lt;chr&gt; | tissue &lt;chr&gt; | Chromosome &lt;chr&gt; | Geneid &lt;chr&gt; | abs_logFC &lt;dbl&gt; | FoldChange_dummy &lt;dbl&gt; | Class &lt;fct&gt; | Strand &lt;fct&gt; | Chromosomal_Position &lt;fct&gt; | AveExpr &lt;dbl&gt; | t &lt;dbl&gt; | P.Value &lt;dbl&gt; | adj.P.Val.1 &lt;dbl&gt; | B &lt;dbl&gt; |\n",
        "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
        "| 1 | ENSG00000129824.15 | RPS4Y1 | -9.668735 | 0 | lower  | males   | Adipose-Subcutaneous | chrY | ENSG00000129824 | 9.668735 | -813.9156 | protein_coding | + | chrY |  4.6438444 | -145.5404 | 0 | 0 | 1136.0576 |\n",
-       "| 2 | ENSG00000229807.10 | XIST   |  9.907847 | 0 | higher | females | Adipose-Subcutaneous | chrX | ENSG00000229807 | 9.907847 |  960.6365 | lncRNA         | - | chrX |  1.2461171 |  131.3680 | 0 | 0 | 1079.0402 |\n",
+       "| 2 | ENSG00000229807.10 | XIST   |  9.907847 | 0 | higher | females | Adipose-Subcutaneous | chrX | ENSG00000229807 | 9.907847 |  960.6365 | lincRNA        | - | chrX |  1.2461171 |  131.3680 | 0 | 0 | 1079.0402 |\n",
        "| 3 | ENSG00000067048.16 | DDX3Y  | -9.698380 | 0 | lower  | males   | Adipose-Subcutaneous | chrY | ENSG00000067048 | 9.698380 | -830.8129 | protein_coding | + | chrY |  3.7021122 | -108.3868 | 0 | 0 |  952.4945 |\n",
-       "| 4 | ENSG00000176728.7  | TTTY14 | -8.082798 | 0 | lower  | males   | Adipose-Subcutaneous | chrY | ENSG00000176728 | 8.082798 | -271.1219 | lncRNA         | - | chrY | -0.9202562 | -105.5946 | 0 | 0 |  922.2647 |\n",
+       "| 4 | ENSG00000176728.7  | TTTY14 | -8.082798 | 0 | lower  | males   | Adipose-Subcutaneous | chrY | ENSG00000176728 | 8.082798 | -271.1219 | lincRNA        | - | chrY | -0.9202562 | -105.5946 | 0 | 0 |  922.2647 |\n",
        "\n"
       ],
       "text/plain": [
@@ -1664,9 +1730,9 @@
        "4 Adipose-Subcutaneous chrY       ENSG00000176728 8.082798  -271.1219       \n",
        "  Class          Strand Chromosomal_Position AveExpr    t         P.Value\n",
        "1 protein_coding +      chrY                  4.6438444 -145.5404 0      \n",
-       "2 lncRNA         -      chrX                  1.2461171  131.3680 0      \n",
+       "2 lincRNA        -      chrX                  1.2461171  131.3680 0      \n",
        "3 protein_coding +      chrY                  3.7021122 -108.3868 0      \n",
-       "4 lncRNA         -      chrY                 -0.9202562 -105.5946 0      \n",
+       "4 lincRNA        -      chrY                 -0.9202562 -105.5946 0      \n",
        "  adj.P.Val.1 B        \n",
        "1 0           1136.0576\n",
        "2 0           1079.0402\n",
@@ -1701,7 +1767,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 82,
    "metadata": {},
    "outputs": [
     {
@@ -1751,7 +1817,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 83,
    "metadata": {},
    "outputs": [
     {
@@ -1802,7 +1868,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 84,
    "metadata": {},
    "outputs": [
     {
@@ -1852,7 +1918,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 85,
    "metadata": {},
    "outputs": [
     {
@@ -1867,7 +1933,7 @@
        "<tbody>\n",
        "\t<tr><th scope=row>1</th><td>ENSG00000129824.15</td><td>RPS4Y1</td><td>-9.668735</td><td>0</td><td>lower</td><td>males</td><td>Adipose-Subcutaneous</td><td>chrY</td><td>ENSG00000129824</td><td>9.668735</td><td>-813.9156</td><td>protein_coding</td><td>+</td><td>chrY</td><td> 4.6438444</td><td>-145.5404</td><td>0</td><td>0</td><td>1136.0576</td></tr>\n",
        "\t<tr><th scope=row>3</th><td>ENSG00000067048.16</td><td>DDX3Y </td><td>-9.698380</td><td>0</td><td>lower</td><td>males</td><td>Adipose-Subcutaneous</td><td>chrY</td><td>ENSG00000067048</td><td>9.698380</td><td>-830.8129</td><td>protein_coding</td><td>+</td><td>chrY</td><td> 3.7021122</td><td>-108.3868</td><td>0</td><td>0</td><td> 952.4945</td></tr>\n",
-       "\t<tr><th scope=row>4</th><td>ENSG00000176728.7 </td><td>TTTY14</td><td>-8.082798</td><td>0</td><td>lower</td><td>males</td><td>Adipose-Subcutaneous</td><td>chrY</td><td>ENSG00000176728</td><td>8.082798</td><td>-271.1219</td><td>lncRNA        </td><td>-</td><td>chrY</td><td>-0.9202562</td><td>-105.5946</td><td>0</td><td>0</td><td> 922.2647</td></tr>\n",
+       "\t<tr><th scope=row>4</th><td>ENSG00000176728.7 </td><td>TTTY14</td><td>-8.082798</td><td>0</td><td>lower</td><td>males</td><td>Adipose-Subcutaneous</td><td>chrY</td><td>ENSG00000176728</td><td>8.082798</td><td>-271.1219</td><td>lincRNA       </td><td>-</td><td>chrY</td><td>-0.9202562</td><td>-105.5946</td><td>0</td><td>0</td><td> 922.2647</td></tr>\n",
        "\t<tr><th scope=row>5</th><td>ENSG00000012817.15</td><td>KDM5D </td><td>-9.608969</td><td>0</td><td>lower</td><td>males</td><td>Adipose-Subcutaneous</td><td>chrY</td><td>ENSG00000012817</td><td>9.608969</td><td>-780.8863</td><td>protein_coding</td><td>-</td><td>chrY</td><td> 3.4369019</td><td>-101.8719</td><td>0</td><td>0</td><td> 914.3474</td></tr>\n",
        "</tbody>\n",
        "</table>\n"
@@ -1880,7 +1946,7 @@
        "\\hline\n",
        "\t1 & ENSG00000129824.15 & RPS4Y1 & -9.668735 & 0 & lower & males & Adipose-Subcutaneous & chrY & ENSG00000129824 & 9.668735 & -813.9156 & protein\\_coding & + & chrY &  4.6438444 & -145.5404 & 0 & 0 & 1136.0576\\\\\n",
        "\t3 & ENSG00000067048.16 & DDX3Y  & -9.698380 & 0 & lower & males & Adipose-Subcutaneous & chrY & ENSG00000067048 & 9.698380 & -830.8129 & protein\\_coding & + & chrY &  3.7021122 & -108.3868 & 0 & 0 &  952.4945\\\\\n",
-       "\t4 & ENSG00000176728.7  & TTTY14 & -8.082798 & 0 & lower & males & Adipose-Subcutaneous & chrY & ENSG00000176728 & 8.082798 & -271.1219 & lncRNA         & - & chrY & -0.9202562 & -105.5946 & 0 & 0 &  922.2647\\\\\n",
+       "\t4 & ENSG00000176728.7  & TTTY14 & -8.082798 & 0 & lower & males & Adipose-Subcutaneous & chrY & ENSG00000176728 & 8.082798 & -271.1219 & lincRNA        & - & chrY & -0.9202562 & -105.5946 & 0 & 0 &  922.2647\\\\\n",
        "\t5 & ENSG00000012817.15 & KDM5D  & -9.608969 & 0 & lower & males & Adipose-Subcutaneous & chrY & ENSG00000012817 & 9.608969 & -780.8863 & protein\\_coding & - & chrY &  3.4369019 & -101.8719 & 0 & 0 &  914.3474\\\\\n",
        "\\end{tabular}\n"
       ],
@@ -1892,7 +1958,7 @@
        "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
        "| 1 | ENSG00000129824.15 | RPS4Y1 | -9.668735 | 0 | lower | males | Adipose-Subcutaneous | chrY | ENSG00000129824 | 9.668735 | -813.9156 | protein_coding | + | chrY |  4.6438444 | -145.5404 | 0 | 0 | 1136.0576 |\n",
        "| 3 | ENSG00000067048.16 | DDX3Y  | -9.698380 | 0 | lower | males | Adipose-Subcutaneous | chrY | ENSG00000067048 | 9.698380 | -830.8129 | protein_coding | + | chrY |  3.7021122 | -108.3868 | 0 | 0 |  952.4945 |\n",
-       "| 4 | ENSG00000176728.7  | TTTY14 | -8.082798 | 0 | lower | males | Adipose-Subcutaneous | chrY | ENSG00000176728 | 8.082798 | -271.1219 | lncRNA         | - | chrY | -0.9202562 | -105.5946 | 0 | 0 |  922.2647 |\n",
+       "| 4 | ENSG00000176728.7  | TTTY14 | -8.082798 | 0 | lower | males | Adipose-Subcutaneous | chrY | ENSG00000176728 | 8.082798 | -271.1219 | lincRNA        | - | chrY | -0.9202562 | -105.5946 | 0 | 0 |  922.2647 |\n",
        "| 5 | ENSG00000012817.15 | KDM5D  | -9.608969 | 0 | lower | males | Adipose-Subcutaneous | chrY | ENSG00000012817 | 9.608969 | -780.8863 | protein_coding | - | chrY |  3.4369019 | -101.8719 | 0 | 0 |  914.3474 |\n",
        "\n"
       ],
@@ -1910,7 +1976,7 @@
        "  Class          Strand Chromosomal_Position AveExpr    t         P.Value\n",
        "1 protein_coding +      chrY                  4.6438444 -145.5404 0      \n",
        "3 protein_coding +      chrY                  3.7021122 -108.3868 0      \n",
-       "4 lncRNA         -      chrY                 -0.9202562 -105.5946 0      \n",
+       "4 lincRNA        -      chrY                 -0.9202562 -105.5946 0      \n",
        "5 protein_coding -      chrY                  3.4369019 -101.8719 0      \n",
        "  adj.P.Val.1 B        \n",
        "1 0           1136.0576\n",
@@ -1953,7 +2019,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 86,
    "metadata": {},
    "outputs": [
     {
@@ -2070,7 +2136,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 87,
    "metadata": {},
    "outputs": [
     {
@@ -2095,8 +2161,8 @@
        "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
        "</thead>\n",
        "<tbody>\n",
-       "\t<tr><td>Geneid</td><td>NA        </td><td>NA                                </td><td>47</td></tr>\n",
-       "\t<tr><td>Geneid</td><td>AC010889.1</td><td>lncRNA                            </td><td>45</td></tr>\n",
+       "\t<tr><td>Geneid</td><td>NA        </td><td>NA                                </td><td>46</td></tr>\n",
+       "\t<tr><td>Geneid</td><td>AC010889.1</td><td>lincRNA                           </td><td>45</td></tr>\n",
        "\t<tr><td>Geneid</td><td>DDX3Y     </td><td>protein_coding                    </td><td>45</td></tr>\n",
        "\t<tr><td>Geneid</td><td>EIF1AY    </td><td>protein_coding                    </td><td>45</td></tr>\n",
        "\t<tr><td>Geneid</td><td>KDM5D     </td><td>protein_coding                    </td><td>45</td></tr>\n",
@@ -2104,12 +2170,12 @@
        "\t<tr><td>Geneid</td><td>PRKY      </td><td>protein_coding                    </td><td>45</td></tr>\n",
        "\t<tr><td>Geneid</td><td>RPS4Y1    </td><td>protein_coding                    </td><td>45</td></tr>\n",
        "\t<tr><td>Geneid</td><td>TMSB4Y    </td><td>protein_coding                    </td><td>45</td></tr>\n",
-       "\t<tr><td>Geneid</td><td>TTTY14    </td><td>lncRNA                            </td><td>45</td></tr>\n",
+       "\t<tr><td>Geneid</td><td>TTTY14    </td><td>lincRNA                           </td><td>45</td></tr>\n",
        "\t<tr><td>Geneid</td><td>TXLNGY    </td><td>transcribed_unprocessed_pseudogene</td><td>45</td></tr>\n",
        "\t<tr><td>Geneid</td><td>USP9Y     </td><td>protein_coding                    </td><td>45</td></tr>\n",
        "\t<tr><td>Geneid</td><td>UTY       </td><td>protein_coding                    </td><td>45</td></tr>\n",
        "\t<tr><td>Geneid</td><td>ZFY       </td><td>protein_coding                    </td><td>45</td></tr>\n",
-       "\t<tr><td>Geneid</td><td>LINC01597 </td><td>lncRNA                            </td><td>44</td></tr>\n",
+       "\t<tr><td>Geneid</td><td>LINC01597 </td><td>lincRNA                           </td><td>44</td></tr>\n",
        "\t<tr><td>Geneid</td><td>DDX43     </td><td>protein_coding                    </td><td>42</td></tr>\n",
        "\t<tr><td>Geneid</td><td>SPESP1    </td><td>protein_coding                    </td><td>35</td></tr>\n",
        "\t<tr><td>Geneid</td><td>CD99      </td><td>protein_coding                    </td><td>32</td></tr>\n",
@@ -2124,8 +2190,8 @@
        " \"Geneid\" & GeneSymbol & Class & n\\\\\n",
        " <chr> & <fct> & <fct> & <int>\\\\\n",
        "\\hline\n",
-       "\t Geneid & NA         & NA                                 & 47\\\\\n",
-       "\t Geneid & AC010889.1 & lncRNA                             & 45\\\\\n",
+       "\t Geneid & NA         & NA                                 & 46\\\\\n",
+       "\t Geneid & AC010889.1 & lincRNA                            & 45\\\\\n",
        "\t Geneid & DDX3Y      & protein\\_coding                     & 45\\\\\n",
        "\t Geneid & EIF1AY     & protein\\_coding                     & 45\\\\\n",
        "\t Geneid & KDM5D      & protein\\_coding                     & 45\\\\\n",
@@ -2133,12 +2199,12 @@
        "\t Geneid & PRKY       & protein\\_coding                     & 45\\\\\n",
        "\t Geneid & RPS4Y1     & protein\\_coding                     & 45\\\\\n",
        "\t Geneid & TMSB4Y     & protein\\_coding                     & 45\\\\\n",
-       "\t Geneid & TTTY14     & lncRNA                             & 45\\\\\n",
+       "\t Geneid & TTTY14     & lincRNA                            & 45\\\\\n",
        "\t Geneid & TXLNGY     & transcribed\\_unprocessed\\_pseudogene & 45\\\\\n",
        "\t Geneid & USP9Y      & protein\\_coding                     & 45\\\\\n",
        "\t Geneid & UTY        & protein\\_coding                     & 45\\\\\n",
        "\t Geneid & ZFY        & protein\\_coding                     & 45\\\\\n",
-       "\t Geneid & LINC01597  & lncRNA                             & 44\\\\\n",
+       "\t Geneid & LINC01597  & lincRNA                            & 44\\\\\n",
        "\t Geneid & DDX43      & protein\\_coding                     & 42\\\\\n",
        "\t Geneid & SPESP1     & protein\\_coding                     & 35\\\\\n",
        "\t Geneid & CD99       & protein\\_coding                     & 32\\\\\n",
@@ -2152,8 +2218,8 @@
        "\n",
        "| \"Geneid\" &lt;chr&gt; | GeneSymbol &lt;fct&gt; | Class &lt;fct&gt; | n &lt;int&gt; |\n",
        "|---|---|---|---|\n",
-       "| Geneid | NA         | NA                                 | 47 |\n",
-       "| Geneid | AC010889.1 | lncRNA                             | 45 |\n",
+       "| Geneid | NA         | NA                                 | 46 |\n",
+       "| Geneid | AC010889.1 | lincRNA                            | 45 |\n",
        "| Geneid | DDX3Y      | protein_coding                     | 45 |\n",
        "| Geneid | EIF1AY     | protein_coding                     | 45 |\n",
        "| Geneid | KDM5D      | protein_coding                     | 45 |\n",
@@ -2161,12 +2227,12 @@
        "| Geneid | PRKY       | protein_coding                     | 45 |\n",
        "| Geneid | RPS4Y1     | protein_coding                     | 45 |\n",
        "| Geneid | TMSB4Y     | protein_coding                     | 45 |\n",
-       "| Geneid | TTTY14     | lncRNA                             | 45 |\n",
+       "| Geneid | TTTY14     | lincRNA                            | 45 |\n",
        "| Geneid | TXLNGY     | transcribed_unprocessed_pseudogene | 45 |\n",
        "| Geneid | USP9Y      | protein_coding                     | 45 |\n",
        "| Geneid | UTY        | protein_coding                     | 45 |\n",
        "| Geneid | ZFY        | protein_coding                     | 45 |\n",
-       "| Geneid | LINC01597  | lncRNA                             | 44 |\n",
+       "| Geneid | LINC01597  | lincRNA                            | 44 |\n",
        "| Geneid | DDX43      | protein_coding                     | 42 |\n",
        "| Geneid | SPESP1     | protein_coding                     | 35 |\n",
        "| Geneid | CD99       | protein_coding                     | 32 |\n",
@@ -2176,8 +2242,8 @@
       ],
       "text/plain": [
        "   \"Geneid\" GeneSymbol Class                              n \n",
-       "1  Geneid   NA         NA                                 47\n",
-       "2  Geneid   AC010889.1 lncRNA                             45\n",
+       "1  Geneid   NA         NA                                 46\n",
+       "2  Geneid   AC010889.1 lincRNA                            45\n",
        "3  Geneid   DDX3Y      protein_coding                     45\n",
        "4  Geneid   EIF1AY     protein_coding                     45\n",
        "5  Geneid   KDM5D      protein_coding                     45\n",
@@ -2185,12 +2251,12 @@
        "7  Geneid   PRKY       protein_coding                     45\n",
        "8  Geneid   RPS4Y1     protein_coding                     45\n",
        "9  Geneid   TMSB4Y     protein_coding                     45\n",
-       "10 Geneid   TTTY14     lncRNA                             45\n",
+       "10 Geneid   TTTY14     lincRNA                            45\n",
        "11 Geneid   TXLNGY     transcribed_unprocessed_pseudogene 45\n",
        "12 Geneid   USP9Y      protein_coding                     45\n",
        "13 Geneid   UTY        protein_coding                     45\n",
        "14 Geneid   ZFY        protein_coding                     45\n",
-       "15 Geneid   LINC01597  lncRNA                             44\n",
+       "15 Geneid   LINC01597  lincRNA                            44\n",
        "16 Geneid   DDX43      protein_coding                     42\n",
        "17 Geneid   SPESP1     protein_coding                     35\n",
        "18 Geneid   CD99       protein_coding                     32\n",
@@ -2219,7 +2285,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 88,
    "metadata": {},
    "outputs": [
     {
@@ -2340,7 +2406,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 89,
    "metadata": {},
    "outputs": [
     {
@@ -2365,14 +2431,14 @@
        "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
        "</thead>\n",
        "<tbody>\n",
-       "\t<tr><td>Geneid</td><td>XIST  </td><td>lncRNA        </td><td>46</td></tr>\n",
+       "\t<tr><td>Geneid</td><td>XIST  </td><td>lincRNA       </td><td>46</td></tr>\n",
        "\t<tr><td>Geneid</td><td>KDM6A </td><td>protein_coding</td><td>33</td></tr>\n",
        "\t<tr><td>Geneid</td><td>ZFX   </td><td>protein_coding</td><td>33</td></tr>\n",
        "\t<tr><td>Geneid</td><td>PUDP  </td><td>protein_coding</td><td>21</td></tr>\n",
        "\t<tr><td>Geneid</td><td>MAP7D2</td><td>protein_coding</td><td>16</td></tr>\n",
        "\t<tr><td>Geneid</td><td>NLRP2 </td><td>protein_coding</td><td>16</td></tr>\n",
        "\t<tr><td>Geneid</td><td>NA    </td><td>NA            </td><td>16</td></tr>\n",
-       "\t<tr><td>Geneid</td><td>JPX   </td><td>lncRNA        </td><td>12</td></tr>\n",
+       "\t<tr><td>Geneid</td><td>JPX   </td><td>lincRNA       </td><td>12</td></tr>\n",
        "\t<tr><td>Geneid</td><td>GSTM1 </td><td>protein_coding</td><td>11</td></tr>\n",
        "\t<tr><td>Geneid</td><td>GYG2  </td><td>protein_coding</td><td>11</td></tr>\n",
        "\t<tr><td>Geneid</td><td>CD163 </td><td>protein_coding</td><td> 9</td></tr>\n",
@@ -2394,14 +2460,14 @@
        " \"Geneid\" & GeneSymbol & Class & n\\\\\n",
        " <chr> & <fct> & <fct> & <int>\\\\\n",
        "\\hline\n",
-       "\t Geneid & XIST   & lncRNA         & 46\\\\\n",
+       "\t Geneid & XIST   & lincRNA        & 46\\\\\n",
        "\t Geneid & KDM6A  & protein\\_coding & 33\\\\\n",
        "\t Geneid & ZFX    & protein\\_coding & 33\\\\\n",
        "\t Geneid & PUDP   & protein\\_coding & 21\\\\\n",
        "\t Geneid & MAP7D2 & protein\\_coding & 16\\\\\n",
        "\t Geneid & NLRP2  & protein\\_coding & 16\\\\\n",
        "\t Geneid & NA     & NA             & 16\\\\\n",
-       "\t Geneid & JPX    & lncRNA         & 12\\\\\n",
+       "\t Geneid & JPX    & lincRNA        & 12\\\\\n",
        "\t Geneid & GSTM1  & protein\\_coding & 11\\\\\n",
        "\t Geneid & GYG2   & protein\\_coding & 11\\\\\n",
        "\t Geneid & CD163  & protein\\_coding &  9\\\\\n",
@@ -2422,14 +2488,14 @@
        "\n",
        "| \"Geneid\" &lt;chr&gt; | GeneSymbol &lt;fct&gt; | Class &lt;fct&gt; | n &lt;int&gt; |\n",
        "|---|---|---|---|\n",
-       "| Geneid | XIST   | lncRNA         | 46 |\n",
+       "| Geneid | XIST   | lincRNA        | 46 |\n",
        "| Geneid | KDM6A  | protein_coding | 33 |\n",
        "| Geneid | ZFX    | protein_coding | 33 |\n",
        "| Geneid | PUDP   | protein_coding | 21 |\n",
        "| Geneid | MAP7D2 | protein_coding | 16 |\n",
        "| Geneid | NLRP2  | protein_coding | 16 |\n",
        "| Geneid | NA     | NA             | 16 |\n",
-       "| Geneid | JPX    | lncRNA         | 12 |\n",
+       "| Geneid | JPX    | lincRNA        | 12 |\n",
        "| Geneid | GSTM1  | protein_coding | 11 |\n",
        "| Geneid | GYG2   | protein_coding | 11 |\n",
        "| Geneid | CD163  | protein_coding |  9 |\n",
@@ -2446,14 +2512,14 @@
       ],
       "text/plain": [
        "   \"Geneid\" GeneSymbol Class          n \n",
-       "1  Geneid   XIST       lncRNA         46\n",
+       "1  Geneid   XIST       lincRNA        46\n",
        "2  Geneid   KDM6A      protein_coding 33\n",
        "3  Geneid   ZFX        protein_coding 33\n",
        "4  Geneid   PUDP       protein_coding 21\n",
        "5  Geneid   MAP7D2     protein_coding 16\n",
        "6  Geneid   NLRP2      protein_coding 16\n",
        "7  Geneid   NA         NA             16\n",
-       "8  Geneid   JPX        lncRNA         12\n",
+       "8  Geneid   JPX        lincRNA        12\n",
        "9  Geneid   GSTM1      protein_coding 11\n",
        "10 Geneid   GYG2       protein_coding 11\n",
        "11 Geneid   CD163      protein_coding  9\n",
@@ -2487,7 +2553,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 90,
    "metadata": {},
    "outputs": [
     {
@@ -2512,7 +2578,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 91,
    "metadata": {},
    "outputs": [
     {
@@ -2568,14 +2634,14 @@
        "\t<tr><td>chr8 </td><td>females</td><td> 88</td></tr>\n",
        "\t<tr><td>chr8 </td><td>males  </td><td> 70</td></tr>\n",
        "\t<tr><td>chr9 </td><td>females</td><td> 67</td></tr>\n",
-       "\t<tr><td>chr9 </td><td>males  </td><td> 71</td></tr>\n",
+       "\t<tr><td>chr9 </td><td>males  </td><td> 72</td></tr>\n",
        "\t<tr><td>chrM </td><td>females</td><td>  1</td></tr>\n",
        "\t<tr><td>chrM </td><td>males  </td><td>  1</td></tr>\n",
        "\t<tr><td>chrX </td><td>females</td><td>295</td></tr>\n",
        "\t<tr><td>chrX </td><td>males  </td><td>112</td></tr>\n",
        "\t<tr><td>chrY </td><td>males  </td><td>633</td></tr>\n",
        "\t<tr><td>NA   </td><td>females</td><td> 16</td></tr>\n",
-       "\t<tr><td>NA   </td><td>males  </td><td> 47</td></tr>\n",
+       "\t<tr><td>NA   </td><td>males  </td><td> 46</td></tr>\n",
        "</tbody>\n",
        "</table>\n"
       ],
@@ -2628,14 +2694,14 @@
        "\t chr8  & females &  88\\\\\n",
        "\t chr8  & males   &  70\\\\\n",
        "\t chr9  & females &  67\\\\\n",
-       "\t chr9  & males   &  71\\\\\n",
+       "\t chr9  & males   &  72\\\\\n",
        "\t chrM  & females &   1\\\\\n",
        "\t chrM  & males   &   1\\\\\n",
        "\t chrX  & females & 295\\\\\n",
        "\t chrX  & males   & 112\\\\\n",
        "\t chrY  & males   & 633\\\\\n",
        "\t NA    & females &  16\\\\\n",
-       "\t NA    & males   &  47\\\\\n",
+       "\t NA    & males   &  46\\\\\n",
        "\\end{tabular}\n"
       ],
       "text/markdown": [
@@ -2687,14 +2753,14 @@
        "| chr8  | females |  88 |\n",
        "| chr8  | males   |  70 |\n",
        "| chr9  | females |  67 |\n",
-       "| chr9  | males   |  71 |\n",
+       "| chr9  | males   |  72 |\n",
        "| chrM  | females |   1 |\n",
        "| chrM  | males   |   1 |\n",
        "| chrX  | females | 295 |\n",
        "| chrX  | males   | 112 |\n",
        "| chrY  | males   | 633 |\n",
        "| NA    | females |  16 |\n",
-       "| NA    | males   |  47 |\n",
+       "| NA    | males   |  46 |\n",
        "\n"
       ],
       "text/plain": [
@@ -2742,14 +2808,14 @@
        "41 chr8       females    88\n",
        "42 chr8       males      70\n",
        "43 chr9       females    67\n",
-       "44 chr9       males      71\n",
+       "44 chr9       males      72\n",
        "45 chrM       females     1\n",
        "46 chrM       males       1\n",
        "47 chrX       females   295\n",
        "48 chrX       males     112\n",
        "49 chrY       males     633\n",
        "50 NA         females    16\n",
-       "51 NA         males      47"
+       "51 NA         males      46"
       ]
      },
      "metadata": {},
@@ -2774,7 +2840,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 92,
    "metadata": {},
    "outputs": [
     {
@@ -2859,36 +2925,36 @@
        "\t<tr><td>e1af3a41d41a96c895221b6a5d5b7ee45ebac7b72f9fa2b19481a6c657618aa1</td><td>dge/Heart-AtrialAppendage_DGE.csv               </td></tr>\n",
        "\t<tr><td>bf23a4cdee9d3b5814e01c14ce36ad1d1f9cef43a8763ce615405a573ca20f7e</td><td>dge/Heart-LeftVentricle_DGE.csv                 </td></tr>\n",
        "\t<tr><td>⋮</td><td>⋮</td></tr>\n",
-       "\t<tr><td>f763605bfc2f4f39873ad61ca473e1dee97e5edd939bcf8c54d8e8e56cc3101d</td><td>signif_brain_nucleusaccumbens_basalganglia.csv</td></tr>\n",
-       "\t<tr><td>c01e7b72697a68bbe9468a186ceba09b3ad9afc5f3bc79bd1765237bb641c6ab</td><td>signif_brain_putamen_basalganglia.csv         </td></tr>\n",
-       "\t<tr><td>9010b7a37e767aea6833683af32c7f7ec0fb795f20e761c79c4ac535828653fc</td><td>signif_brain_spinalcord_cervicalc_1.csv       </td></tr>\n",
-       "\t<tr><td>86656c058136011b1c4c1d6debd2b949bfc3aa6e2d44e26a25ab60beb8537c6a</td><td>signif_brain_substantianigra.csv              </td></tr>\n",
-       "\t<tr><td>b95092c93b67ce7407ec8e5a76adfa5065a2b4b34b83d03124e9a8bde55f7d19</td><td>signif_breast_mammary_tissue.csv              </td></tr>\n",
-       "\t<tr><td>05266a009ef093c657edbe8a3d4042946c52796211d2e35d4a277ac6d2ad9904</td><td>signif_cells_culturedfibroblasts.csv          </td></tr>\n",
-       "\t<tr><td>e6a3bafe3c900e80f15728101841f73febe48181f0ef99a1fef1145e401602fa</td><td>signif_cells_ebv_transformedlymphocytes.csv   </td></tr>\n",
-       "\t<tr><td>c70b2adf5aa96056a7b34e1b6858e7d47fd0478ea63d3d2ab974f4867726e1ca</td><td>signif_colon_sigmoid.csv                      </td></tr>\n",
-       "\t<tr><td>2dffd99b164fa9887364aa19c033f9ed1f724492178dc1127f9db61313eb9a71</td><td>signif_colon_transverse.csv                   </td></tr>\n",
-       "\t<tr><td>9024aa36f607342c0bb7c7dbf961be730a6e433b4e51c1a77301580e0d68902d</td><td>signif_esophagus_gastroesophageal_junction.csv</td></tr>\n",
-       "\t<tr><td>c48c7f71ddc3e25bd7a00fef5dffcb317a613a15bd6a2e1997649c637aedd747</td><td>signif_esophagus_mucosa.csv                   </td></tr>\n",
-       "\t<tr><td>8ba4cab3d1ad123f4fe30f2fd7e943e2daae04390f98be049ce147d94e61f3bc</td><td>signif_esophagus_muscularis.csv               </td></tr>\n",
-       "\t<tr><td>cffc790a36d49638f04f11557b739c825a2fc0cf6d2601b99582813ef1d0a280</td><td>signif_heart_atrial_appendage.csv             </td></tr>\n",
-       "\t<tr><td>2fb7a753ae950b7ec02d3d9a48211446510e01b6f560f75fbc02386f863b8e41</td><td>signif_heart_left_ventricle.csv               </td></tr>\n",
-       "\t<tr><td>172d819e1c9d5bb43be7f3a134c84c46286fc106a2f6b5fab3a13d549f368fab</td><td>signif_kidney_cortex.csv                      </td></tr>\n",
-       "\t<tr><td>b92e08e02d93b01eb2f464755fef20dc3078ce8e03094f69ab955307706dd2d8</td><td>signif_kidney_medulla.csv                     </td></tr>\n",
-       "\t<tr><td>255c9e7fe6a25c1cbda41408fa96e21a854e661e8ec79d66218663eb2c021d15</td><td>signif_liver.csv                              </td></tr>\n",
-       "\t<tr><td>63b5f3563d6a14298158e36d420cd899efcc91ec0fd8a851fff46f073f634e68</td><td>signif_lung.csv                               </td></tr>\n",
-       "\t<tr><td>883f65b1af0e7720f13addb909dfe7d4baee8408a99fe06d9667b8022c17cc8a</td><td>signif_minor_salivary_gland.csv               </td></tr>\n",
-       "\t<tr><td>b0d4ef9566dc3f0c9587a0c4b4eb25d11f31326e5a0a85765917bc041a39a17a</td><td>signif_muscle_skeletal.csv                    </td></tr>\n",
-       "\t<tr><td>2b4b044e9444f28e94579c058cf02dc3536d1d8f01968bafdb89db1311e98f15</td><td>signif_nerve_tibial.csv                       </td></tr>\n",
-       "\t<tr><td>c982a2b0b95deb692a804ab911d8cba7932e17784608c953713618e22e0764b2</td><td>signif_pancreas.csv                           </td></tr>\n",
-       "\t<tr><td>3c86598d0cebbd96062fa6ce63820e10b35bc94f7a21194dc7115b6b0e9bbbf2</td><td>signif_pituitary.csv                          </td></tr>\n",
-       "\t<tr><td>d95ec68687f288ed63742493ec53a9dee8c13d6acf6be00033472bc6e2ec9e8c</td><td>signif_skin_not_sun_exposed_suprapubic.csv    </td></tr>\n",
-       "\t<tr><td>00618a4650efc99b9b7f82a32c4aec91389d668792ee287bff12e748b32e9e75</td><td>signif_skin_sun_exposed_lowerleg.csv          </td></tr>\n",
-       "\t<tr><td>e5ac6acfbf6ef56c58c7a44f4a07356ee7e2ecd9a46f1b9673d6f30dabf1492f</td><td>signif_small_intestine_terminal_ileum.csv     </td></tr>\n",
-       "\t<tr><td>b9dd6360a68525d285962281f4956e53e61b506577ce40773734001bc58a9d49</td><td>signif_spleen.csv                             </td></tr>\n",
-       "\t<tr><td>536c887d0579c14f22f5c72bc069271ef241b7f495681e148ad32b1fd829adc1</td><td>signif_stomach.csv                            </td></tr>\n",
-       "\t<tr><td>fdbc5a505c671b3ed9325e4287380467698a0e09bcb3eb4a3baa25b0f88570fe</td><td>signif_thyroid.csv                            </td></tr>\n",
-       "\t<tr><td>7cc96abe567907e53876a5e2c597d2a8f3cf786e4057af6748de2b661acf8d42</td><td>signif_whole_blood.csv                        </td></tr>\n",
+       "\t<tr><td>c61c0280cc311755ce95e3c94dd4312ee84c33b69ae3893076cbedb3d1f9abda</td><td>signif_brain_nucleusaccumbens_basalganglia.csv</td></tr>\n",
+       "\t<tr><td>cd24e1068d6bc2806574380e50d39112a1f76a9b36eaa4f70ad3cec1ce6a3a6d</td><td>signif_brain_putamen_basalganglia.csv         </td></tr>\n",
+       "\t<tr><td>4cc45c50585fe6f3312147239bc688750a986ce3fd834211dacd7348cfe644bc</td><td>signif_brain_spinalcord_cervicalc_1.csv       </td></tr>\n",
+       "\t<tr><td>a684288de246795a9d5bef1ff439233dd15d1cc2e993221f92bd68cc8a497a27</td><td>signif_brain_substantianigra.csv              </td></tr>\n",
+       "\t<tr><td>5ca61ecc6e10b54e5dbe585ef97911bc75af7661a0c63d6414e55e10215b4118</td><td>signif_breast_mammary_tissue.csv              </td></tr>\n",
+       "\t<tr><td>5c86eccf5694af72e0ddde4d36321ae7b2d609a35578b34327f18620c18b9d3d</td><td>signif_cells_culturedfibroblasts.csv          </td></tr>\n",
+       "\t<tr><td>463cc42a2757fc6cc7b43da70562aeb88bc3aaa012c265a1e46a168937fb67cc</td><td>signif_cells_ebv_transformedlymphocytes.csv   </td></tr>\n",
+       "\t<tr><td>8b48f692af08c3161dbe233fa2bcd2f868d5438d6ca6a52fc08d558310ff78b4</td><td>signif_colon_sigmoid.csv                      </td></tr>\n",
+       "\t<tr><td>70b8b4e44eec3ec82f03a476b4c3bf58758a247adcdb29876d153dfb2190be90</td><td>signif_colon_transverse.csv                   </td></tr>\n",
+       "\t<tr><td>5bb7dd8337fe8de117908ba5015f23534c7c8af765097b50781c4fe0c90689b3</td><td>signif_esophagus_gastroesophageal_junction.csv</td></tr>\n",
+       "\t<tr><td>c3879e55bc10aa3215604d36d9e3e15e3cb417d36685be6e68282f7cf02f444c</td><td>signif_esophagus_mucosa.csv                   </td></tr>\n",
+       "\t<tr><td>6ece7ee3748c3c7c89d7d807c79bd0ba39440d568ecd493ce7e4cd3f862b3320</td><td>signif_esophagus_muscularis.csv               </td></tr>\n",
+       "\t<tr><td>6aaa3cf7c3da10e2debda91bfe7ce60f547d9ffdb23fb87c1fe27a753943a376</td><td>signif_heart_atrial_appendage.csv             </td></tr>\n",
+       "\t<tr><td>859ecf95bc768ce787fc55e06ef502dbf42d28d5e63015d5f2be935cb7c8dc4d</td><td>signif_heart_left_ventricle.csv               </td></tr>\n",
+       "\t<tr><td>9b8727916ccc68985b2f0216730f625751d2b154e7139b9c3db594323c657dc0</td><td>signif_kidney_cortex.csv                      </td></tr>\n",
+       "\t<tr><td>da1dcb855e0ca81d9eb185c75190910c64490c57f3424e5d98bb507f4a7e1268</td><td>signif_kidney_medulla.csv                     </td></tr>\n",
+       "\t<tr><td>518dd5b0234d038d3bbc0b0b4f2d58c744958ad420c210fc198f94d7b1f2d10c</td><td>signif_liver.csv                              </td></tr>\n",
+       "\t<tr><td>a7c2f5b291a6dbbc0d23d2ab8f38f89341b2bdc158a9f80f4fe7e7cb304eab5a</td><td>signif_lung.csv                               </td></tr>\n",
+       "\t<tr><td>e9c22b66c8b591d6a29a8485bcbb30d049522025da52259e96bdceb95cd968d3</td><td>signif_minor_salivary_gland.csv               </td></tr>\n",
+       "\t<tr><td>b407814c301b0789e5f07e40d93c75d0c34a6a77ced17f313fec0af334335b78</td><td>signif_muscle_skeletal.csv                    </td></tr>\n",
+       "\t<tr><td>b9ebf90d4282764eb3105bc9d816c775049737e94a6a656e12d0354f17ddfc58</td><td>signif_nerve_tibial.csv                       </td></tr>\n",
+       "\t<tr><td>51836890ed48b18c50720008e3da88f33f46bdbb20731bacc5718aa245b69173</td><td>signif_pancreas.csv                           </td></tr>\n",
+       "\t<tr><td>ba7eeb515eeeaa88459f710efcd55da255a5a9e4d9eed8f7d98c1412ed88248c</td><td>signif_pituitary.csv                          </td></tr>\n",
+       "\t<tr><td>71d7af151292a7aa759678779e4d092c04e8281b425948c4660b598bef881294</td><td>signif_skin_not_sun_exposed_suprapubic.csv    </td></tr>\n",
+       "\t<tr><td>24cac4d54d48ea18639b803fdccd286deb1a44fc8e19e570df6c122132835c47</td><td>signif_skin_sun_exposed_lowerleg.csv          </td></tr>\n",
+       "\t<tr><td>5439ffb61c590853bd6cd2d28fc02bc9baa9a0e4e710e4a1d21b45a17c033859</td><td>signif_small_intestine_terminal_ileum.csv     </td></tr>\n",
+       "\t<tr><td>d437a3bbf0d93768d389815ab4b4fdd26e6cb550042ad1cfffe2c890d214fc3c</td><td>signif_spleen.csv                             </td></tr>\n",
+       "\t<tr><td>8fed6f860258a06edf610103a97d7686bc129998402e449334694ef84b92e35e</td><td>signif_stomach.csv                            </td></tr>\n",
+       "\t<tr><td>6bd6295f802d4f05a23d1648b8aaa0c9c12d9c758d16c1a5677d3697d42c45f5</td><td>signif_thyroid.csv                            </td></tr>\n",
+       "\t<tr><td>1028706f9b36ae9c54508d729c36cc9c70b64f4fea0229e668144d34cd2d65a3</td><td>signif_whole_blood.csv                        </td></tr>\n",
        "</tbody>\n",
        "</table>\n"
       ],
@@ -2929,36 +2995,36 @@
        "\t e1af3a41d41a96c895221b6a5d5b7ee45ebac7b72f9fa2b19481a6c657618aa1 & dge/Heart-AtrialAppendage\\_DGE.csv               \\\\\n",
        "\t bf23a4cdee9d3b5814e01c14ce36ad1d1f9cef43a8763ce615405a573ca20f7e & dge/Heart-LeftVentricle\\_DGE.csv                 \\\\\n",
        "\t ⋮ & ⋮\\\\\n",
-       "\t f763605bfc2f4f39873ad61ca473e1dee97e5edd939bcf8c54d8e8e56cc3101d & signif\\_brain\\_nucleusaccumbens\\_basalganglia.csv\\\\\n",
-       "\t c01e7b72697a68bbe9468a186ceba09b3ad9afc5f3bc79bd1765237bb641c6ab & signif\\_brain\\_putamen\\_basalganglia.csv         \\\\\n",
-       "\t 9010b7a37e767aea6833683af32c7f7ec0fb795f20e761c79c4ac535828653fc & signif\\_brain\\_spinalcord\\_cervicalc\\_1.csv       \\\\\n",
-       "\t 86656c058136011b1c4c1d6debd2b949bfc3aa6e2d44e26a25ab60beb8537c6a & signif\\_brain\\_substantianigra.csv              \\\\\n",
-       "\t b95092c93b67ce7407ec8e5a76adfa5065a2b4b34b83d03124e9a8bde55f7d19 & signif\\_breast\\_mammary\\_tissue.csv              \\\\\n",
-       "\t 05266a009ef093c657edbe8a3d4042946c52796211d2e35d4a277ac6d2ad9904 & signif\\_cells\\_culturedfibroblasts.csv          \\\\\n",
-       "\t e6a3bafe3c900e80f15728101841f73febe48181f0ef99a1fef1145e401602fa & signif\\_cells\\_ebv\\_transformedlymphocytes.csv   \\\\\n",
-       "\t c70b2adf5aa96056a7b34e1b6858e7d47fd0478ea63d3d2ab974f4867726e1ca & signif\\_colon\\_sigmoid.csv                      \\\\\n",
-       "\t 2dffd99b164fa9887364aa19c033f9ed1f724492178dc1127f9db61313eb9a71 & signif\\_colon\\_transverse.csv                   \\\\\n",
-       "\t 9024aa36f607342c0bb7c7dbf961be730a6e433b4e51c1a77301580e0d68902d & signif\\_esophagus\\_gastroesophageal\\_junction.csv\\\\\n",
-       "\t c48c7f71ddc3e25bd7a00fef5dffcb317a613a15bd6a2e1997649c637aedd747 & signif\\_esophagus\\_mucosa.csv                   \\\\\n",
-       "\t 8ba4cab3d1ad123f4fe30f2fd7e943e2daae04390f98be049ce147d94e61f3bc & signif\\_esophagus\\_muscularis.csv               \\\\\n",
-       "\t cffc790a36d49638f04f11557b739c825a2fc0cf6d2601b99582813ef1d0a280 & signif\\_heart\\_atrial\\_appendage.csv             \\\\\n",
-       "\t 2fb7a753ae950b7ec02d3d9a48211446510e01b6f560f75fbc02386f863b8e41 & signif\\_heart\\_left\\_ventricle.csv               \\\\\n",
-       "\t 172d819e1c9d5bb43be7f3a134c84c46286fc106a2f6b5fab3a13d549f368fab & signif\\_kidney\\_cortex.csv                      \\\\\n",
-       "\t b92e08e02d93b01eb2f464755fef20dc3078ce8e03094f69ab955307706dd2d8 & signif\\_kidney\\_medulla.csv                     \\\\\n",
-       "\t 255c9e7fe6a25c1cbda41408fa96e21a854e661e8ec79d66218663eb2c021d15 & signif\\_liver.csv                              \\\\\n",
-       "\t 63b5f3563d6a14298158e36d420cd899efcc91ec0fd8a851fff46f073f634e68 & signif\\_lung.csv                               \\\\\n",
-       "\t 883f65b1af0e7720f13addb909dfe7d4baee8408a99fe06d9667b8022c17cc8a & signif\\_minor\\_salivary\\_gland.csv               \\\\\n",
-       "\t b0d4ef9566dc3f0c9587a0c4b4eb25d11f31326e5a0a85765917bc041a39a17a & signif\\_muscle\\_skeletal.csv                    \\\\\n",
-       "\t 2b4b044e9444f28e94579c058cf02dc3536d1d8f01968bafdb89db1311e98f15 & signif\\_nerve\\_tibial.csv                       \\\\\n",
-       "\t c982a2b0b95deb692a804ab911d8cba7932e17784608c953713618e22e0764b2 & signif\\_pancreas.csv                           \\\\\n",
-       "\t 3c86598d0cebbd96062fa6ce63820e10b35bc94f7a21194dc7115b6b0e9bbbf2 & signif\\_pituitary.csv                          \\\\\n",
-       "\t d95ec68687f288ed63742493ec53a9dee8c13d6acf6be00033472bc6e2ec9e8c & signif\\_skin\\_not\\_sun\\_exposed\\_suprapubic.csv    \\\\\n",
-       "\t 00618a4650efc99b9b7f82a32c4aec91389d668792ee287bff12e748b32e9e75 & signif\\_skin\\_sun\\_exposed\\_lowerleg.csv          \\\\\n",
-       "\t e5ac6acfbf6ef56c58c7a44f4a07356ee7e2ecd9a46f1b9673d6f30dabf1492f & signif\\_small\\_intestine\\_terminal\\_ileum.csv     \\\\\n",
-       "\t b9dd6360a68525d285962281f4956e53e61b506577ce40773734001bc58a9d49 & signif\\_spleen.csv                             \\\\\n",
-       "\t 536c887d0579c14f22f5c72bc069271ef241b7f495681e148ad32b1fd829adc1 & signif\\_stomach.csv                            \\\\\n",
-       "\t fdbc5a505c671b3ed9325e4287380467698a0e09bcb3eb4a3baa25b0f88570fe & signif\\_thyroid.csv                            \\\\\n",
-       "\t 7cc96abe567907e53876a5e2c597d2a8f3cf786e4057af6748de2b661acf8d42 & signif\\_whole\\_blood.csv                        \\\\\n",
+       "\t c61c0280cc311755ce95e3c94dd4312ee84c33b69ae3893076cbedb3d1f9abda & signif\\_brain\\_nucleusaccumbens\\_basalganglia.csv\\\\\n",
+       "\t cd24e1068d6bc2806574380e50d39112a1f76a9b36eaa4f70ad3cec1ce6a3a6d & signif\\_brain\\_putamen\\_basalganglia.csv         \\\\\n",
+       "\t 4cc45c50585fe6f3312147239bc688750a986ce3fd834211dacd7348cfe644bc & signif\\_brain\\_spinalcord\\_cervicalc\\_1.csv       \\\\\n",
+       "\t a684288de246795a9d5bef1ff439233dd15d1cc2e993221f92bd68cc8a497a27 & signif\\_brain\\_substantianigra.csv              \\\\\n",
+       "\t 5ca61ecc6e10b54e5dbe585ef97911bc75af7661a0c63d6414e55e10215b4118 & signif\\_breast\\_mammary\\_tissue.csv              \\\\\n",
+       "\t 5c86eccf5694af72e0ddde4d36321ae7b2d609a35578b34327f18620c18b9d3d & signif\\_cells\\_culturedfibroblasts.csv          \\\\\n",
+       "\t 463cc42a2757fc6cc7b43da70562aeb88bc3aaa012c265a1e46a168937fb67cc & signif\\_cells\\_ebv\\_transformedlymphocytes.csv   \\\\\n",
+       "\t 8b48f692af08c3161dbe233fa2bcd2f868d5438d6ca6a52fc08d558310ff78b4 & signif\\_colon\\_sigmoid.csv                      \\\\\n",
+       "\t 70b8b4e44eec3ec82f03a476b4c3bf58758a247adcdb29876d153dfb2190be90 & signif\\_colon\\_transverse.csv                   \\\\\n",
+       "\t 5bb7dd8337fe8de117908ba5015f23534c7c8af765097b50781c4fe0c90689b3 & signif\\_esophagus\\_gastroesophageal\\_junction.csv\\\\\n",
+       "\t c3879e55bc10aa3215604d36d9e3e15e3cb417d36685be6e68282f7cf02f444c & signif\\_esophagus\\_mucosa.csv                   \\\\\n",
+       "\t 6ece7ee3748c3c7c89d7d807c79bd0ba39440d568ecd493ce7e4cd3f862b3320 & signif\\_esophagus\\_muscularis.csv               \\\\\n",
+       "\t 6aaa3cf7c3da10e2debda91bfe7ce60f547d9ffdb23fb87c1fe27a753943a376 & signif\\_heart\\_atrial\\_appendage.csv             \\\\\n",
+       "\t 859ecf95bc768ce787fc55e06ef502dbf42d28d5e63015d5f2be935cb7c8dc4d & signif\\_heart\\_left\\_ventricle.csv               \\\\\n",
+       "\t 9b8727916ccc68985b2f0216730f625751d2b154e7139b9c3db594323c657dc0 & signif\\_kidney\\_cortex.csv                      \\\\\n",
+       "\t da1dcb855e0ca81d9eb185c75190910c64490c57f3424e5d98bb507f4a7e1268 & signif\\_kidney\\_medulla.csv                     \\\\\n",
+       "\t 518dd5b0234d038d3bbc0b0b4f2d58c744958ad420c210fc198f94d7b1f2d10c & signif\\_liver.csv                              \\\\\n",
+       "\t a7c2f5b291a6dbbc0d23d2ab8f38f89341b2bdc158a9f80f4fe7e7cb304eab5a & signif\\_lung.csv                               \\\\\n",
+       "\t e9c22b66c8b591d6a29a8485bcbb30d049522025da52259e96bdceb95cd968d3 & signif\\_minor\\_salivary\\_gland.csv               \\\\\n",
+       "\t b407814c301b0789e5f07e40d93c75d0c34a6a77ced17f313fec0af334335b78 & signif\\_muscle\\_skeletal.csv                    \\\\\n",
+       "\t b9ebf90d4282764eb3105bc9d816c775049737e94a6a656e12d0354f17ddfc58 & signif\\_nerve\\_tibial.csv                       \\\\\n",
+       "\t 51836890ed48b18c50720008e3da88f33f46bdbb20731bacc5718aa245b69173 & signif\\_pancreas.csv                           \\\\\n",
+       "\t ba7eeb515eeeaa88459f710efcd55da255a5a9e4d9eed8f7d98c1412ed88248c & signif\\_pituitary.csv                          \\\\\n",
+       "\t 71d7af151292a7aa759678779e4d092c04e8281b425948c4660b598bef881294 & signif\\_skin\\_not\\_sun\\_exposed\\_suprapubic.csv    \\\\\n",
+       "\t 24cac4d54d48ea18639b803fdccd286deb1a44fc8e19e570df6c122132835c47 & signif\\_skin\\_sun\\_exposed\\_lowerleg.csv          \\\\\n",
+       "\t 5439ffb61c590853bd6cd2d28fc02bc9baa9a0e4e710e4a1d21b45a17c033859 & signif\\_small\\_intestine\\_terminal\\_ileum.csv     \\\\\n",
+       "\t d437a3bbf0d93768d389815ab4b4fdd26e6cb550042ad1cfffe2c890d214fc3c & signif\\_spleen.csv                             \\\\\n",
+       "\t 8fed6f860258a06edf610103a97d7686bc129998402e449334694ef84b92e35e & signif\\_stomach.csv                            \\\\\n",
+       "\t 6bd6295f802d4f05a23d1648b8aaa0c9c12d9c758d16c1a5677d3697d42c45f5 & signif\\_thyroid.csv                            \\\\\n",
+       "\t 1028706f9b36ae9c54508d729c36cc9c70b64f4fea0229e668144d34cd2d65a3 & signif\\_whole\\_blood.csv                        \\\\\n",
        "\\end{tabular}\n"
       ],
       "text/markdown": [
@@ -2998,36 +3064,36 @@
        "| e1af3a41d41a96c895221b6a5d5b7ee45ebac7b72f9fa2b19481a6c657618aa1 | dge/Heart-AtrialAppendage_DGE.csv                |\n",
        "| bf23a4cdee9d3b5814e01c14ce36ad1d1f9cef43a8763ce615405a573ca20f7e | dge/Heart-LeftVentricle_DGE.csv                  |\n",
        "| ⋮ | ⋮ |\n",
-       "| f763605bfc2f4f39873ad61ca473e1dee97e5edd939bcf8c54d8e8e56cc3101d | signif_brain_nucleusaccumbens_basalganglia.csv |\n",
-       "| c01e7b72697a68bbe9468a186ceba09b3ad9afc5f3bc79bd1765237bb641c6ab | signif_brain_putamen_basalganglia.csv          |\n",
-       "| 9010b7a37e767aea6833683af32c7f7ec0fb795f20e761c79c4ac535828653fc | signif_brain_spinalcord_cervicalc_1.csv        |\n",
-       "| 86656c058136011b1c4c1d6debd2b949bfc3aa6e2d44e26a25ab60beb8537c6a | signif_brain_substantianigra.csv               |\n",
-       "| b95092c93b67ce7407ec8e5a76adfa5065a2b4b34b83d03124e9a8bde55f7d19 | signif_breast_mammary_tissue.csv               |\n",
-       "| 05266a009ef093c657edbe8a3d4042946c52796211d2e35d4a277ac6d2ad9904 | signif_cells_culturedfibroblasts.csv           |\n",
-       "| e6a3bafe3c900e80f15728101841f73febe48181f0ef99a1fef1145e401602fa | signif_cells_ebv_transformedlymphocytes.csv    |\n",
-       "| c70b2adf5aa96056a7b34e1b6858e7d47fd0478ea63d3d2ab974f4867726e1ca | signif_colon_sigmoid.csv                       |\n",
-       "| 2dffd99b164fa9887364aa19c033f9ed1f724492178dc1127f9db61313eb9a71 | signif_colon_transverse.csv                    |\n",
-       "| 9024aa36f607342c0bb7c7dbf961be730a6e433b4e51c1a77301580e0d68902d | signif_esophagus_gastroesophageal_junction.csv |\n",
-       "| c48c7f71ddc3e25bd7a00fef5dffcb317a613a15bd6a2e1997649c637aedd747 | signif_esophagus_mucosa.csv                    |\n",
-       "| 8ba4cab3d1ad123f4fe30f2fd7e943e2daae04390f98be049ce147d94e61f3bc | signif_esophagus_muscularis.csv                |\n",
-       "| cffc790a36d49638f04f11557b739c825a2fc0cf6d2601b99582813ef1d0a280 | signif_heart_atrial_appendage.csv              |\n",
-       "| 2fb7a753ae950b7ec02d3d9a48211446510e01b6f560f75fbc02386f863b8e41 | signif_heart_left_ventricle.csv                |\n",
-       "| 172d819e1c9d5bb43be7f3a134c84c46286fc106a2f6b5fab3a13d549f368fab | signif_kidney_cortex.csv                       |\n",
-       "| b92e08e02d93b01eb2f464755fef20dc3078ce8e03094f69ab955307706dd2d8 | signif_kidney_medulla.csv                      |\n",
-       "| 255c9e7fe6a25c1cbda41408fa96e21a854e661e8ec79d66218663eb2c021d15 | signif_liver.csv                               |\n",
-       "| 63b5f3563d6a14298158e36d420cd899efcc91ec0fd8a851fff46f073f634e68 | signif_lung.csv                                |\n",
-       "| 883f65b1af0e7720f13addb909dfe7d4baee8408a99fe06d9667b8022c17cc8a | signif_minor_salivary_gland.csv                |\n",
-       "| b0d4ef9566dc3f0c9587a0c4b4eb25d11f31326e5a0a85765917bc041a39a17a | signif_muscle_skeletal.csv                     |\n",
-       "| 2b4b044e9444f28e94579c058cf02dc3536d1d8f01968bafdb89db1311e98f15 | signif_nerve_tibial.csv                        |\n",
-       "| c982a2b0b95deb692a804ab911d8cba7932e17784608c953713618e22e0764b2 | signif_pancreas.csv                            |\n",
-       "| 3c86598d0cebbd96062fa6ce63820e10b35bc94f7a21194dc7115b6b0e9bbbf2 | signif_pituitary.csv                           |\n",
-       "| d95ec68687f288ed63742493ec53a9dee8c13d6acf6be00033472bc6e2ec9e8c | signif_skin_not_sun_exposed_suprapubic.csv     |\n",
-       "| 00618a4650efc99b9b7f82a32c4aec91389d668792ee287bff12e748b32e9e75 | signif_skin_sun_exposed_lowerleg.csv           |\n",
-       "| e5ac6acfbf6ef56c58c7a44f4a07356ee7e2ecd9a46f1b9673d6f30dabf1492f | signif_small_intestine_terminal_ileum.csv      |\n",
-       "| b9dd6360a68525d285962281f4956e53e61b506577ce40773734001bc58a9d49 | signif_spleen.csv                              |\n",
-       "| 536c887d0579c14f22f5c72bc069271ef241b7f495681e148ad32b1fd829adc1 | signif_stomach.csv                             |\n",
-       "| fdbc5a505c671b3ed9325e4287380467698a0e09bcb3eb4a3baa25b0f88570fe | signif_thyroid.csv                             |\n",
-       "| 7cc96abe567907e53876a5e2c597d2a8f3cf786e4057af6748de2b661acf8d42 | signif_whole_blood.csv                         |\n",
+       "| c61c0280cc311755ce95e3c94dd4312ee84c33b69ae3893076cbedb3d1f9abda | signif_brain_nucleusaccumbens_basalganglia.csv |\n",
+       "| cd24e1068d6bc2806574380e50d39112a1f76a9b36eaa4f70ad3cec1ce6a3a6d | signif_brain_putamen_basalganglia.csv          |\n",
+       "| 4cc45c50585fe6f3312147239bc688750a986ce3fd834211dacd7348cfe644bc | signif_brain_spinalcord_cervicalc_1.csv        |\n",
+       "| a684288de246795a9d5bef1ff439233dd15d1cc2e993221f92bd68cc8a497a27 | signif_brain_substantianigra.csv               |\n",
+       "| 5ca61ecc6e10b54e5dbe585ef97911bc75af7661a0c63d6414e55e10215b4118 | signif_breast_mammary_tissue.csv               |\n",
+       "| 5c86eccf5694af72e0ddde4d36321ae7b2d609a35578b34327f18620c18b9d3d | signif_cells_culturedfibroblasts.csv           |\n",
+       "| 463cc42a2757fc6cc7b43da70562aeb88bc3aaa012c265a1e46a168937fb67cc | signif_cells_ebv_transformedlymphocytes.csv    |\n",
+       "| 8b48f692af08c3161dbe233fa2bcd2f868d5438d6ca6a52fc08d558310ff78b4 | signif_colon_sigmoid.csv                       |\n",
+       "| 70b8b4e44eec3ec82f03a476b4c3bf58758a247adcdb29876d153dfb2190be90 | signif_colon_transverse.csv                    |\n",
+       "| 5bb7dd8337fe8de117908ba5015f23534c7c8af765097b50781c4fe0c90689b3 | signif_esophagus_gastroesophageal_junction.csv |\n",
+       "| c3879e55bc10aa3215604d36d9e3e15e3cb417d36685be6e68282f7cf02f444c | signif_esophagus_mucosa.csv                    |\n",
+       "| 6ece7ee3748c3c7c89d7d807c79bd0ba39440d568ecd493ce7e4cd3f862b3320 | signif_esophagus_muscularis.csv                |\n",
+       "| 6aaa3cf7c3da10e2debda91bfe7ce60f547d9ffdb23fb87c1fe27a753943a376 | signif_heart_atrial_appendage.csv              |\n",
+       "| 859ecf95bc768ce787fc55e06ef502dbf42d28d5e63015d5f2be935cb7c8dc4d | signif_heart_left_ventricle.csv                |\n",
+       "| 9b8727916ccc68985b2f0216730f625751d2b154e7139b9c3db594323c657dc0 | signif_kidney_cortex.csv                       |\n",
+       "| da1dcb855e0ca81d9eb185c75190910c64490c57f3424e5d98bb507f4a7e1268 | signif_kidney_medulla.csv                      |\n",
+       "| 518dd5b0234d038d3bbc0b0b4f2d58c744958ad420c210fc198f94d7b1f2d10c | signif_liver.csv                               |\n",
+       "| a7c2f5b291a6dbbc0d23d2ab8f38f89341b2bdc158a9f80f4fe7e7cb304eab5a | signif_lung.csv                                |\n",
+       "| e9c22b66c8b591d6a29a8485bcbb30d049522025da52259e96bdceb95cd968d3 | signif_minor_salivary_gland.csv                |\n",
+       "| b407814c301b0789e5f07e40d93c75d0c34a6a77ced17f313fec0af334335b78 | signif_muscle_skeletal.csv                     |\n",
+       "| b9ebf90d4282764eb3105bc9d816c775049737e94a6a656e12d0354f17ddfc58 | signif_nerve_tibial.csv                        |\n",
+       "| 51836890ed48b18c50720008e3da88f33f46bdbb20731bacc5718aa245b69173 | signif_pancreas.csv                            |\n",
+       "| ba7eeb515eeeaa88459f710efcd55da255a5a9e4d9eed8f7d98c1412ed88248c | signif_pituitary.csv                           |\n",
+       "| 71d7af151292a7aa759678779e4d092c04e8281b425948c4660b598bef881294 | signif_skin_not_sun_exposed_suprapubic.csv     |\n",
+       "| 24cac4d54d48ea18639b803fdccd286deb1a44fc8e19e570df6c122132835c47 | signif_skin_sun_exposed_lowerleg.csv           |\n",
+       "| 5439ffb61c590853bd6cd2d28fc02bc9baa9a0e4e710e4a1d21b45a17c033859 | signif_small_intestine_terminal_ileum.csv      |\n",
+       "| d437a3bbf0d93768d389815ab4b4fdd26e6cb550042ad1cfffe2c890d214fc3c | signif_spleen.csv                              |\n",
+       "| 8fed6f860258a06edf610103a97d7686bc129998402e449334694ef84b92e35e | signif_stomach.csv                             |\n",
+       "| 6bd6295f802d4f05a23d1648b8aaa0c9c12d9c758d16c1a5677d3697d42c45f5 | signif_thyroid.csv                             |\n",
+       "| 1028706f9b36ae9c54508d729c36cc9c70b64f4fea0229e668144d34cd2d65a3 | signif_whole_blood.csv                         |\n",
        "\n"
       ],
       "text/plain": [
@@ -3063,36 +3129,36 @@
        "29 e1af3a41d41a96c895221b6a5d5b7ee45ebac7b72f9fa2b19481a6c657618aa1\n",
        "30 bf23a4cdee9d3b5814e01c14ce36ad1d1f9cef43a8763ce615405a573ca20f7e\n",
        "⋮  ⋮                                                               \n",
-       "63 f763605bfc2f4f39873ad61ca473e1dee97e5edd939bcf8c54d8e8e56cc3101d\n",
-       "64 c01e7b72697a68bbe9468a186ceba09b3ad9afc5f3bc79bd1765237bb641c6ab\n",
-       "65 9010b7a37e767aea6833683af32c7f7ec0fb795f20e761c79c4ac535828653fc\n",
-       "66 86656c058136011b1c4c1d6debd2b949bfc3aa6e2d44e26a25ab60beb8537c6a\n",
-       "67 b95092c93b67ce7407ec8e5a76adfa5065a2b4b34b83d03124e9a8bde55f7d19\n",
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-       "69 e6a3bafe3c900e80f15728101841f73febe48181f0ef99a1fef1145e401602fa\n",
-       "70 c70b2adf5aa96056a7b34e1b6858e7d47fd0478ea63d3d2ab974f4867726e1ca\n",
-       "71 2dffd99b164fa9887364aa19c033f9ed1f724492178dc1127f9db61313eb9a71\n",
-       "72 9024aa36f607342c0bb7c7dbf961be730a6e433b4e51c1a77301580e0d68902d\n",
-       "73 c48c7f71ddc3e25bd7a00fef5dffcb317a613a15bd6a2e1997649c637aedd747\n",
-       "74 8ba4cab3d1ad123f4fe30f2fd7e943e2daae04390f98be049ce147d94e61f3bc\n",
-       "75 cffc790a36d49638f04f11557b739c825a2fc0cf6d2601b99582813ef1d0a280\n",
-       "76 2fb7a753ae950b7ec02d3d9a48211446510e01b6f560f75fbc02386f863b8e41\n",
-       "77 172d819e1c9d5bb43be7f3a134c84c46286fc106a2f6b5fab3a13d549f368fab\n",
-       "78 b92e08e02d93b01eb2f464755fef20dc3078ce8e03094f69ab955307706dd2d8\n",
-       "79 255c9e7fe6a25c1cbda41408fa96e21a854e661e8ec79d66218663eb2c021d15\n",
-       "80 63b5f3563d6a14298158e36d420cd899efcc91ec0fd8a851fff46f073f634e68\n",
-       "81 883f65b1af0e7720f13addb909dfe7d4baee8408a99fe06d9667b8022c17cc8a\n",
-       "82 b0d4ef9566dc3f0c9587a0c4b4eb25d11f31326e5a0a85765917bc041a39a17a\n",
-       "83 2b4b044e9444f28e94579c058cf02dc3536d1d8f01968bafdb89db1311e98f15\n",
-       "84 c982a2b0b95deb692a804ab911d8cba7932e17784608c953713618e22e0764b2\n",
-       "85 3c86598d0cebbd96062fa6ce63820e10b35bc94f7a21194dc7115b6b0e9bbbf2\n",
-       "86 d95ec68687f288ed63742493ec53a9dee8c13d6acf6be00033472bc6e2ec9e8c\n",
-       "87 00618a4650efc99b9b7f82a32c4aec91389d668792ee287bff12e748b32e9e75\n",
-       "88 e5ac6acfbf6ef56c58c7a44f4a07356ee7e2ecd9a46f1b9673d6f30dabf1492f\n",
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-       "90 536c887d0579c14f22f5c72bc069271ef241b7f495681e148ad32b1fd829adc1\n",
-       "91 fdbc5a505c671b3ed9325e4287380467698a0e09bcb3eb4a3baa25b0f88570fe\n",
-       "92 7cc96abe567907e53876a5e2c597d2a8f3cf786e4057af6748de2b661acf8d42\n",
+       "63 c61c0280cc311755ce95e3c94dd4312ee84c33b69ae3893076cbedb3d1f9abda\n",
+       "64 cd24e1068d6bc2806574380e50d39112a1f76a9b36eaa4f70ad3cec1ce6a3a6d\n",
+       "65 4cc45c50585fe6f3312147239bc688750a986ce3fd834211dacd7348cfe644bc\n",
+       "66 a684288de246795a9d5bef1ff439233dd15d1cc2e993221f92bd68cc8a497a27\n",
+       "67 5ca61ecc6e10b54e5dbe585ef97911bc75af7661a0c63d6414e55e10215b4118\n",
+       "68 5c86eccf5694af72e0ddde4d36321ae7b2d609a35578b34327f18620c18b9d3d\n",
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+       "70 8b48f692af08c3161dbe233fa2bcd2f868d5438d6ca6a52fc08d558310ff78b4\n",
+       "71 70b8b4e44eec3ec82f03a476b4c3bf58758a247adcdb29876d153dfb2190be90\n",
+       "72 5bb7dd8337fe8de117908ba5015f23534c7c8af765097b50781c4fe0c90689b3\n",
+       "73 c3879e55bc10aa3215604d36d9e3e15e3cb417d36685be6e68282f7cf02f444c\n",
+       "74 6ece7ee3748c3c7c89d7d807c79bd0ba39440d568ecd493ce7e4cd3f862b3320\n",
+       "75 6aaa3cf7c3da10e2debda91bfe7ce60f547d9ffdb23fb87c1fe27a753943a376\n",
+       "76 859ecf95bc768ce787fc55e06ef502dbf42d28d5e63015d5f2be935cb7c8dc4d\n",
+       "77 9b8727916ccc68985b2f0216730f625751d2b154e7139b9c3db594323c657dc0\n",
+       "78 da1dcb855e0ca81d9eb185c75190910c64490c57f3424e5d98bb507f4a7e1268\n",
+       "79 518dd5b0234d038d3bbc0b0b4f2d58c744958ad420c210fc198f94d7b1f2d10c\n",
+       "80 a7c2f5b291a6dbbc0d23d2ab8f38f89341b2bdc158a9f80f4fe7e7cb304eab5a\n",
+       "81 e9c22b66c8b591d6a29a8485bcbb30d049522025da52259e96bdceb95cd968d3\n",
+       "82 b407814c301b0789e5f07e40d93c75d0c34a6a77ced17f313fec0af334335b78\n",
+       "83 b9ebf90d4282764eb3105bc9d816c775049737e94a6a656e12d0354f17ddfc58\n",
+       "84 51836890ed48b18c50720008e3da88f33f46bdbb20731bacc5718aa245b69173\n",
+       "85 ba7eeb515eeeaa88459f710efcd55da255a5a9e4d9eed8f7d98c1412ed88248c\n",
+       "86 71d7af151292a7aa759678779e4d092c04e8281b425948c4660b598bef881294\n",
+       "87 24cac4d54d48ea18639b803fdccd286deb1a44fc8e19e570df6c122132835c47\n",
+       "88 5439ffb61c590853bd6cd2d28fc02bc9baa9a0e4e710e4a1d21b45a17c033859\n",
+       "89 d437a3bbf0d93768d389815ab4b4fdd26e6cb550042ad1cfffe2c890d214fc3c\n",
+       "90 8fed6f860258a06edf610103a97d7686bc129998402e449334694ef84b92e35e\n",
+       "91 6bd6295f802d4f05a23d1648b8aaa0c9c12d9c758d16c1a5677d3697d42c45f5\n",
+       "92 1028706f9b36ae9c54508d729c36cc9c70b64f4fea0229e668144d34cd2d65a3\n",
        "   file                                            \n",
        "1  dge/Adipose-Subcutaneous_DGE.csv                \n",
        "2  dge/Adipose-Visceral(Omentum)_DGE.csv           \n",
@@ -3182,7 +3248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 93,
    "metadata": {},
    "outputs": [
     {
@@ -3205,8 +3271,8 @@
      "data": {
       "text/plain": [
        " setting  value                       \n",
-       " version  R version 3.6.2 (2019-12-12)\n",
-       " os       Ubuntu 18.04.3 LTS          \n",
+       " version  R version 3.6.3 (2020-02-29)\n",
+       " os       Ubuntu 18.04.4 LTS          \n",
        " system   x86_64, linux-gnu           \n",
        " ui       X11                         \n",
        " language en_US.UTF-8                 \n",
@@ -3223,59 +3289,78 @@
      "data": {
       "text/html": [
        "<table>\n",
-       "<caption>A packages_info: 4 × 11</caption>\n",
+       "<caption>A packages_info: 6 × 11</caption>\n",
        "<thead>\n",
        "\t<tr><th></th><th scope=col>package</th><th scope=col>ondiskversion</th><th scope=col>loadedversion</th><th scope=col>path</th><th scope=col>loadedpath</th><th scope=col>attached</th><th scope=col>is_base</th><th scope=col>date</th><th scope=col>source</th><th scope=col>md5ok</th><th scope=col>library</th></tr>\n",
        "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>&lt;fct&gt;</th></tr>\n",
        "</thead>\n",
        "<tbody>\n",
-       "\t<tr><th scope=row>dplyr</th><td>dplyr  </td><td>0.8.4</td><td>0.8.4</td><td>/opt/conda/lib/R/library/dplyr  </td><td>/opt/conda/lib/R/library/dplyr  </td><td>TRUE</td><td>FALSE</td><td>2020-01-31</td><td>CRAN (R 3.6.2)</td><td>NA</td><td>/opt/conda/lib/R/library</td></tr>\n",
-       "\t<tr><th scope=row>ggplot2</th><td>ggplot2</td><td>3.3.0</td><td>3.3.0</td><td>/opt/conda/lib/R/library/ggplot2</td><td>/opt/conda/lib/R/library/ggplot2</td><td>TRUE</td><td>FALSE</td><td>2020-03-05</td><td>CRAN (R 3.6.3)</td><td>NA</td><td>/opt/conda/lib/R/library</td></tr>\n",
-       "\t<tr><th scope=row>reshape</th><td>reshape</td><td>0.8.8</td><td>0.8.8</td><td>/opt/conda/lib/R/library/reshape</td><td>/opt/conda/lib/R/library/reshape</td><td>TRUE</td><td>FALSE</td><td>2018-10-23</td><td>CRAN (R 3.6.2)</td><td>NA</td><td>/opt/conda/lib/R/library</td></tr>\n",
-       "\t<tr><th scope=row>tidyr</th><td>tidyr  </td><td>1.0.3</td><td>1.0.3</td><td>/opt/conda/lib/R/library/tidyr  </td><td>/opt/conda/lib/R/library/tidyr  </td><td>TRUE</td><td>FALSE</td><td>2020-05-07</td><td>CRAN (R 3.6.2)</td><td>NA</td><td>/opt/conda/lib/R/library</td></tr>\n",
+       "\t<tr><th scope=row>dplyr</th><td>dplyr    </td><td>0.8.5    </td><td>0.8.5    </td><td>/opt/conda/lib/R/library/dplyr    </td><td>/opt/conda/lib/R/library/dplyr    </td><td>TRUE</td><td>FALSE</td><td>2020-03-07</td><td>CRAN (R 3.6.3)                     </td><td>NA</td><td>/opt/conda/lib/R/library</td></tr>\n",
+       "\t<tr><th scope=row>ggplot2</th><td>ggplot2  </td><td>3.3.0    </td><td>3.3.0    </td><td>/opt/conda/lib/R/library/ggplot2  </td><td>/opt/conda/lib/R/library/ggplot2  </td><td>TRUE</td><td>FALSE</td><td>2020-03-05</td><td>CRAN (R 3.6.3)                     </td><td>NA</td><td>/opt/conda/lib/R/library</td></tr>\n",
+       "\t<tr><th scope=row>piggyback</th><td>piggyback</td><td>0.0.10.99</td><td>0.0.10.99</td><td>/opt/conda/lib/R/library/piggyback</td><td>/opt/conda/lib/R/library/piggyback</td><td>TRUE</td><td>FALSE</td><td>2020-05-10</td><td>Github (ropensci/piggyback@87f71e8)</td><td>NA</td><td>/opt/conda/lib/R/library</td></tr>\n",
+       "\t<tr><th scope=row>reshape</th><td>reshape  </td><td>0.8.8    </td><td>0.8.8    </td><td>/opt/conda/lib/R/library/reshape  </td><td>/opt/conda/lib/R/library/reshape  </td><td>TRUE</td><td>FALSE</td><td>2018-10-23</td><td>CRAN (R 3.6.3)                     </td><td>NA</td><td>/opt/conda/lib/R/library</td></tr>\n",
+       "\t<tr><th scope=row>snakecase</th><td>snakecase</td><td>0.11.0   </td><td>0.11.0   </td><td>/opt/conda/lib/R/library/snakecase</td><td>/opt/conda/lib/R/library/snakecase</td><td>TRUE</td><td>FALSE</td><td>2019-05-25</td><td>CRAN (R 3.6.3)                     </td><td>NA</td><td>/opt/conda/lib/R/library</td></tr>\n",
+       "\t<tr><th scope=row>tidyr</th><td>tidyr    </td><td>1.0.3    </td><td>1.0.3    </td><td>/opt/conda/lib/R/library/tidyr    </td><td>/opt/conda/lib/R/library/tidyr    </td><td>TRUE</td><td>FALSE</td><td>2020-05-07</td><td>CRAN (R 3.6.3)                     </td><td>NA</td><td>/opt/conda/lib/R/library</td></tr>\n",
        "</tbody>\n",
        "</table>\n"
       ],
       "text/latex": [
-       "A packages\\_info: 4 × 11\n",
+       "A packages\\_info: 6 × 11\n",
        "\\begin{tabular}{r|lllllllllll}\n",
        "  & package & ondiskversion & loadedversion & path & loadedpath & attached & is\\_base & date & source & md5ok & library\\\\\n",
        "  & <chr> & <chr> & <chr> & <chr> & <chr> & <lgl> & <lgl> & <chr> & <chr> & <lgl> & <fct>\\\\\n",
        "\\hline\n",
-       "\tdplyr & dplyr   & 0.8.4 & 0.8.4 & /opt/conda/lib/R/library/dplyr   & /opt/conda/lib/R/library/dplyr   & TRUE & FALSE & 2020-01-31 & CRAN (R 3.6.2) & NA & /opt/conda/lib/R/library\\\\\n",
-       "\tggplot2 & ggplot2 & 3.3.0 & 3.3.0 & /opt/conda/lib/R/library/ggplot2 & /opt/conda/lib/R/library/ggplot2 & TRUE & FALSE & 2020-03-05 & CRAN (R 3.6.3) & NA & /opt/conda/lib/R/library\\\\\n",
-       "\treshape & reshape & 0.8.8 & 0.8.8 & /opt/conda/lib/R/library/reshape & /opt/conda/lib/R/library/reshape & TRUE & FALSE & 2018-10-23 & CRAN (R 3.6.2) & NA & /opt/conda/lib/R/library\\\\\n",
-       "\ttidyr & tidyr   & 1.0.3 & 1.0.3 & /opt/conda/lib/R/library/tidyr   & /opt/conda/lib/R/library/tidyr   & TRUE & FALSE & 2020-05-07 & CRAN (R 3.6.2) & NA & /opt/conda/lib/R/library\\\\\n",
+       "\tdplyr & dplyr     & 0.8.5     & 0.8.5     & /opt/conda/lib/R/library/dplyr     & /opt/conda/lib/R/library/dplyr     & TRUE & FALSE & 2020-03-07 & CRAN (R 3.6.3)                      & NA & /opt/conda/lib/R/library\\\\\n",
+       "\tggplot2 & ggplot2   & 3.3.0     & 3.3.0     & /opt/conda/lib/R/library/ggplot2   & /opt/conda/lib/R/library/ggplot2   & TRUE & FALSE & 2020-03-05 & CRAN (R 3.6.3)                      & NA & /opt/conda/lib/R/library\\\\\n",
+       "\tpiggyback & piggyback & 0.0.10.99 & 0.0.10.99 & /opt/conda/lib/R/library/piggyback & /opt/conda/lib/R/library/piggyback & TRUE & FALSE & 2020-05-10 & Github (ropensci/piggyback@87f71e8) & NA & /opt/conda/lib/R/library\\\\\n",
+       "\treshape & reshape   & 0.8.8     & 0.8.8     & /opt/conda/lib/R/library/reshape   & /opt/conda/lib/R/library/reshape   & TRUE & FALSE & 2018-10-23 & CRAN (R 3.6.3)                      & NA & /opt/conda/lib/R/library\\\\\n",
+       "\tsnakecase & snakecase & 0.11.0    & 0.11.0    & /opt/conda/lib/R/library/snakecase & /opt/conda/lib/R/library/snakecase & TRUE & FALSE & 2019-05-25 & CRAN (R 3.6.3)                      & NA & /opt/conda/lib/R/library\\\\\n",
+       "\ttidyr & tidyr     & 1.0.3     & 1.0.3     & /opt/conda/lib/R/library/tidyr     & /opt/conda/lib/R/library/tidyr     & TRUE & FALSE & 2020-05-07 & CRAN (R 3.6.3)                      & NA & /opt/conda/lib/R/library\\\\\n",
        "\\end{tabular}\n"
       ],
       "text/markdown": [
        "\n",
-       "A packages_info: 4 × 11\n",
+       "A packages_info: 6 × 11\n",
        "\n",
        "| <!--/--> | package &lt;chr&gt; | ondiskversion &lt;chr&gt; | loadedversion &lt;chr&gt; | path &lt;chr&gt; | loadedpath &lt;chr&gt; | attached &lt;lgl&gt; | is_base &lt;lgl&gt; | date &lt;chr&gt; | source &lt;chr&gt; | md5ok &lt;lgl&gt; | library &lt;fct&gt; |\n",
        "|---|---|---|---|---|---|---|---|---|---|---|---|\n",
-       "| dplyr | dplyr   | 0.8.4 | 0.8.4 | /opt/conda/lib/R/library/dplyr   | /opt/conda/lib/R/library/dplyr   | TRUE | FALSE | 2020-01-31 | CRAN (R 3.6.2) | NA | /opt/conda/lib/R/library |\n",
-       "| ggplot2 | ggplot2 | 3.3.0 | 3.3.0 | /opt/conda/lib/R/library/ggplot2 | /opt/conda/lib/R/library/ggplot2 | TRUE | FALSE | 2020-03-05 | CRAN (R 3.6.3) | NA | /opt/conda/lib/R/library |\n",
-       "| reshape | reshape | 0.8.8 | 0.8.8 | /opt/conda/lib/R/library/reshape | /opt/conda/lib/R/library/reshape | TRUE | FALSE | 2018-10-23 | CRAN (R 3.6.2) | NA | /opt/conda/lib/R/library |\n",
-       "| tidyr | tidyr   | 1.0.3 | 1.0.3 | /opt/conda/lib/R/library/tidyr   | /opt/conda/lib/R/library/tidyr   | TRUE | FALSE | 2020-05-07 | CRAN (R 3.6.2) | NA | /opt/conda/lib/R/library |\n",
+       "| dplyr | dplyr     | 0.8.5     | 0.8.5     | /opt/conda/lib/R/library/dplyr     | /opt/conda/lib/R/library/dplyr     | TRUE | FALSE | 2020-03-07 | CRAN (R 3.6.3)                      | NA | /opt/conda/lib/R/library |\n",
+       "| ggplot2 | ggplot2   | 3.3.0     | 3.3.0     | /opt/conda/lib/R/library/ggplot2   | /opt/conda/lib/R/library/ggplot2   | TRUE | FALSE | 2020-03-05 | CRAN (R 3.6.3)                      | NA | /opt/conda/lib/R/library |\n",
+       "| piggyback | piggyback | 0.0.10.99 | 0.0.10.99 | /opt/conda/lib/R/library/piggyback | /opt/conda/lib/R/library/piggyback | TRUE | FALSE | 2020-05-10 | Github (ropensci/piggyback@87f71e8) | NA | /opt/conda/lib/R/library |\n",
+       "| reshape | reshape   | 0.8.8     | 0.8.8     | /opt/conda/lib/R/library/reshape   | /opt/conda/lib/R/library/reshape   | TRUE | FALSE | 2018-10-23 | CRAN (R 3.6.3)                      | NA | /opt/conda/lib/R/library |\n",
+       "| snakecase | snakecase | 0.11.0    | 0.11.0    | /opt/conda/lib/R/library/snakecase | /opt/conda/lib/R/library/snakecase | TRUE | FALSE | 2019-05-25 | CRAN (R 3.6.3)                      | NA | /opt/conda/lib/R/library |\n",
+       "| tidyr | tidyr     | 1.0.3     | 1.0.3     | /opt/conda/lib/R/library/tidyr     | /opt/conda/lib/R/library/tidyr     | TRUE | FALSE | 2020-05-07 | CRAN (R 3.6.3)                      | NA | /opt/conda/lib/R/library |\n",
        "\n"
       ],
       "text/plain": [
-       "        package ondiskversion loadedversion path                            \n",
-       "dplyr   dplyr   0.8.4         0.8.4         /opt/conda/lib/R/library/dplyr  \n",
-       "ggplot2 ggplot2 3.3.0         3.3.0         /opt/conda/lib/R/library/ggplot2\n",
-       "reshape reshape 0.8.8         0.8.8         /opt/conda/lib/R/library/reshape\n",
-       "tidyr   tidyr   1.0.3         1.0.3         /opt/conda/lib/R/library/tidyr  \n",
-       "        loadedpath                       attached is_base date      \n",
-       "dplyr   /opt/conda/lib/R/library/dplyr   TRUE     FALSE   2020-01-31\n",
-       "ggplot2 /opt/conda/lib/R/library/ggplot2 TRUE     FALSE   2020-03-05\n",
-       "reshape /opt/conda/lib/R/library/reshape TRUE     FALSE   2018-10-23\n",
-       "tidyr   /opt/conda/lib/R/library/tidyr   TRUE     FALSE   2020-05-07\n",
-       "        source         md5ok library                 \n",
-       "dplyr   CRAN (R 3.6.2) NA    /opt/conda/lib/R/library\n",
-       "ggplot2 CRAN (R 3.6.3) NA    /opt/conda/lib/R/library\n",
-       "reshape CRAN (R 3.6.2) NA    /opt/conda/lib/R/library\n",
-       "tidyr   CRAN (R 3.6.2) NA    /opt/conda/lib/R/library"
+       "          package   ondiskversion loadedversion\n",
+       "dplyr     dplyr     0.8.5         0.8.5        \n",
+       "ggplot2   ggplot2   3.3.0         3.3.0        \n",
+       "piggyback piggyback 0.0.10.99     0.0.10.99    \n",
+       "reshape   reshape   0.8.8         0.8.8        \n",
+       "snakecase snakecase 0.11.0        0.11.0       \n",
+       "tidyr     tidyr     1.0.3         1.0.3        \n",
+       "          path                               loadedpath                        \n",
+       "dplyr     /opt/conda/lib/R/library/dplyr     /opt/conda/lib/R/library/dplyr    \n",
+       "ggplot2   /opt/conda/lib/R/library/ggplot2   /opt/conda/lib/R/library/ggplot2  \n",
+       "piggyback /opt/conda/lib/R/library/piggyback /opt/conda/lib/R/library/piggyback\n",
+       "reshape   /opt/conda/lib/R/library/reshape   /opt/conda/lib/R/library/reshape  \n",
+       "snakecase /opt/conda/lib/R/library/snakecase /opt/conda/lib/R/library/snakecase\n",
+       "tidyr     /opt/conda/lib/R/library/tidyr     /opt/conda/lib/R/library/tidyr    \n",
+       "          attached is_base date       source                              md5ok\n",
+       "dplyr     TRUE     FALSE   2020-03-07 CRAN (R 3.6.3)                      NA   \n",
+       "ggplot2   TRUE     FALSE   2020-03-05 CRAN (R 3.6.3)                      NA   \n",
+       "piggyback TRUE     FALSE   2020-05-10 Github (ropensci/piggyback@87f71e8) NA   \n",
+       "reshape   TRUE     FALSE   2018-10-23 CRAN (R 3.6.3)                      NA   \n",
+       "snakecase TRUE     FALSE   2019-05-25 CRAN (R 3.6.3)                      NA   \n",
+       "tidyr     TRUE     FALSE   2020-05-07 CRAN (R 3.6.3)                      NA   \n",
+       "          library                 \n",
+       "dplyr     /opt/conda/lib/R/library\n",
+       "ggplot2   /opt/conda/lib/R/library\n",
+       "piggyback /opt/conda/lib/R/library\n",
+       "reshape   /opt/conda/lib/R/library\n",
+       "snakecase /opt/conda/lib/R/library\n",
+       "tidyr     /opt/conda/lib/R/library"
       ]
      },
      "metadata": {},
@@ -3311,7 +3396,7 @@
    "mimetype": "text/x-r-source",
    "name": "R",
    "pygments_lexer": "r",
-   "version": "3.6.2"
+   "version": "3.6.3"
   }
  },
  "nbformat": 4,