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DESCRIPTION
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Package: CeTF
Type: Package
Title: Coexpression for Transcription Factors using Regulatory Impact Factors
and Partial Correlation and Information Theory analysis
Version: 1.10.1
Authors@R: c(person("Carlos Alberto", "Oliveira de Biagi Junior", email =
"[email protected]", role = c("aut", "cre")), person("Ricardo", "Perecin
Nociti", email = "[email protected]", role = c("aut")), person("Breno",
"Osvaldo Funicheli", email = "[email protected] ", role = c("aut")),
person("João Paulo", "Bianchi Ximenez", email = "[email protected]",
role = c("ctb")), person("Patrícia", "de Cássia Ruy", email =
"[email protected]", role = c("ctb")), person("Marcelo", "Gomes de Paula",
email = "[email protected]", role = c("ctb")), person("Rafael", "dos
Santos Bezerra", email = "[email protected]", role = c("ctb")),
person("Wilson", "Araújo da Silva Junior", email = "[email protected]", role =
c("aut", "ths")))
Description: This package provides the necessary functions for performing the
Partial Correlation coefficient with Information Theory (PCIT) (Reverter and
Chan 2008) and Regulatory Impact Factors (RIF) (Reverter et al. 2010)
algorithm. The PCIT algorithm identifies meaningful correlations to define
edges in a weighted network and can be applied to any correlation-based
network including but not limited to gene co-expression networks, while the
RIF algorithm identify critical Transcription Factors (TF) from gene
expression data. These two algorithms when combined provide a very relevant
layer of information for gene expression studies (Microarray, RNA-seq and
single-cell RNA-seq data).
Imports: circlize, ComplexHeatmap, clusterProfiler, DESeq2, dplyr,
GenomicTools.fileHandler, GGally, ggnetwork, ggplot2,
ggpubr, ggrepel, graphics, grid, igraph, Matrix, network,
Rcpp, RCy3, stats, SummarizedExperiment, S4Vectors, utils, methods
Suggests: airway, kableExtra, knitr, org.Hs.eg.db, rmarkdown, testthat
SystemRequirements: libcurl4-openssl-dev, libxml2-dev, libssl-dev, gfortran,
build-essential, libz-dev, zlib1g-dev
Depends: R (>= 4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
biocViews: Sequencing, RNASeq, Microarray, GeneExpression, Transcription,
Normalization, DifferentialExpression, SingleCell, Network,
Regression, ChIPSeq, ImmunoOncology, Coverage
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo