diff --git a/R/FastFindAnchors.R b/R/FastFindAnchors.R
index d88a8b4..f1ac42c 100644
--- a/R/FastFindAnchors.R
+++ b/R/FastFindAnchors.R
@@ -21,7 +21,7 @@ FastFindAnchors = function(
 
   message("Finding all pairwise anchors")
 
-  if (nSample > 100) {
+  if (nSample >= 50) {
     rna.list = pbmcapply::pbmclapply(
       1:nSample, function(i) {
         rna = readRDS(paste0(tmp.dir, "/FastIntegrationTmp/raw/", i,".rds"))
@@ -93,7 +93,7 @@ FastFindAnchors = function(
   data.table::setindex(all.anchors, dataset1)
 
   message("Merging data")
-  if (nSample <= 100) {
+  if (nSample < 50) {
     anchor.group <- all.anchors %>% group_by(dataset1, dataset2) %>% summarise(n = n())
     similarity.matrix = matrix(data = 0, ncol = nSample, nrow = nSample)
     similarity.matrix[lower.tri(similarity.matrix, diag=FALSE) | upper.tri(similarity.matrix, diag=FALSE)] = anchor.group$n
@@ -121,11 +121,11 @@ FastFindAnchors = function(
       rna.bind = cbind(rna.bind, rna@assays$RNA@data[features,])
     }
   } else {
-    n = ceiling(nSample/100)
+    n = ceiling(nSample/50)
     rna.list = pbmcapply::pbmclapply(
       1:n, function(i) {
-        start = (i-1)*100 + 1
-        end = min(nSample, i*100)
+        start = (i-1)*50 + 1
+        end = min(nSample, i*50)
         rna.bind = readRDS(paste0(tmp.dir, "/FastIntegrationTmp/raw/", start,".rds"))
         rna.bind = rna.bind@assays$RNA@data[features,]
         for (j in (start+1):end) {
diff --git a/R/FastIntegration.R b/R/FastIntegration.R
index 3f45b84..afb15bd 100644
--- a/R/FastIntegration.R
+++ b/R/FastIntegration.R
@@ -14,7 +14,7 @@ FastIntegration = function(
   npcs = 1:30,
   nn.k = 100,
   slot = c("data", "counts"),
-  prevent.over.correct = F
+  cut.low = 0.1
 ) {
   data.table::setDTthreads(threads = 1L)
 
@@ -58,7 +58,7 @@ FastIntegration = function(
     nn.k = nn.k,
     sample.tree = sample.tree,
     objects.ncell = obj.lengths,
-    prevent.over.correct = prevent.over.correct
+    cut.low = cut.low
   )
 }
 
@@ -73,7 +73,7 @@ FastPairwiseIntegrateReference = function(
   nn.k,
   sample.tree,
   objects.ncell,
-  prevent.over.correct = F
+  cut.low
 ) {
 
   cellnames.list = list()
@@ -118,7 +118,7 @@ FastPairwiseIntegrateReference = function(
       input.pca = input.pca,
       id.table = id.table,
       nn.k = nn.k,
-      prevent.over.correct = prevent.over.correct
+      cut.low = cut.low
     )
 
     object.list[[as.character(ii)]] = integrated.matrix
@@ -138,7 +138,7 @@ FastRunIntegration = function(
   input.pca,
   id.table,
   nn.k,
-  prevent.over.correct = F
+  cut.low = 0.1
 ) {
 
   if (dim(filtered.anchors)[1] > 100000) {
@@ -178,31 +178,17 @@ FastRunIntegration = function(
     integrated = pbmcapply::pbmclapply(
       1:length(ss),
       function(i) {
-        if (prevent.over.correct) {
-          corrected = integration.matrix %*% weight.matrix[,ss[[i]]]
-          corrected = RmOutlierMatrix(corrected)
-          integrated = query[,ss[[i]]] - corrected
-
-        }else {
-          integrated = query[,ss[[i]]] - integration.matrix %*% weight.matrix[,ss[[i]]]
-        }
+        integrated = query[,ss[[i]]] - integration.matrix %*% weight.matrix[,ss[[i]]]
       },
       mc.cores = min(ceiling(dim(query)[2]/50000), 40)
     )
     integrated = do.call("cbind", integrated)
   }else {
-    if (prevent.over.correct) {
-      corrected = integration.matrix %*% weight.matrix
-      corrected = RmOutlierMatrix(corrected)
-      integrated = query - corrected
-
-    }else {
-      integrated = query - integration.matrix %*% weight.matrix
-    }
+    integrated = query - integration.matrix %*% weight.matrix
   }
-  max.cut = max(reference@x)
-  message(max.cut)
-  integrated[which(integrated < 0.1)] = 0
+  max.cut = max(c(reference@x, query@x))
+
+  integrated[which(integrated < cut.low)] = 0
   integrated[which(integrated > max.cut)] = max.cut
 
   integrated = Matrix::drop0(integrated)
@@ -238,7 +224,12 @@ FastFindWeights = function(
   )
 
   distances = Seurat::Distances(object = knn_2_2)
+  a = as.numeric(distances[,ncol(x = distances)]/distances[,2])
+  b = distances/distances[,2]
+  b = which(b > qnorm(0.99, mean(a), sd(a)))
+
   distances = 1 - (distances / distances[, ncol(x = distances)])
+  distances[b] = 0
   cell.index = Seurat::Indices(object = knn_2_2)
   FindWeightsC = getFromNamespace("FindWeightsC", "Seurat")
   weights = FindWeightsC(
@@ -253,23 +244,8 @@ FastFindWeights = function(
     display_progress = TRUE
   )
 
+  print("aa")
+
   return(weights)
 }
 
-RmOutlierMatrix = function(m){
-  m = as.matrix(m)
-  for (i in 1:nrow(m)) {
-    Q <- quantile(m[i,], probs=c(.25, .75), na.rm = FALSE)
-    iqr <- IQR(m[i,])
-    up <-  Q[2]+1.5*iqr
-    low<- Q[1]-1.5*iqr
-    if(up < max(m[i,])) {
-      m[i,which(m[i,] > up)] = up
-    }
-    if (low > min(m[i,])) {
-      m[i,which(m[i,] < low)] = low
-    }
-  }
-  m = as(m, "sparseMatrix")
-  return(m)
-}
diff --git a/R/OneStop.R b/R/OneStop.R
index 4b45fbf..b8bc3c7 100644
--- a/R/OneStop.R
+++ b/R/OneStop.R
@@ -4,11 +4,12 @@ OneStopIntegration = function(
   tmp.dir = "./",
   feature.to.integration = NULL,
   feature.to.return = NULL,
-  max.cores = 30
+  max.cores = 30,
+  nfeatures = 2000
 ) {
   nCores = max.cores
   message("Building integration files")
-  BuildIntegrationFile(rna.list, tmp.dir = tmp.dir, nCores = nCores)
+  BuildIntegrationFile(rna.list = rna.list, tmp.dir = tmp.dir, nCores = nCores, nfeatures = nfeatures)
 
   message("Finding anchors")
   FastFindAnchors(tmp.dir = tmp.dir, nCores = nCores)
@@ -22,8 +23,7 @@ OneStopIntegration = function(
 
   pbmcapply::pbmclapply(
     1:20, function(i) {
-      rna.integrated = FastIntegration(tmp.dir = tmp.dir,
-                                       npcs = 1:30, slot = "data",
+      rna.integrated = FastIntegration(tmp.dir = tmp.dir, npcs = 1:30, slot = "data",
                                        features.to.integrate = feature.to.integration[idx[[i]]])
       saveRDS(rna.integrated, paste0(tmp.dir, "/FastIntegrationTmp/inte/inte_", i, ".rds"), compress = F)
     }, mc.cores = 20
@@ -35,12 +35,16 @@ OneStopIntegration = function(
   rna.data = pbmcapply::pbmclapply(
     1:20, function(i) {
       rna = readRDS(paste0(tmp.dir, "/FastIntegrationTmp/inte/inte_", i, ".rds"))
-      rna = rna[intersect(feature.to.return, rownames(rna)),]
-      rna[which(rna < 0.2)] = 0
-      return(rna)
+      if (length(intersect(rownames(rna), feature.to.return)) > 0) {
+        rna = rna[intersect(feature.to.return, rownames(rna)), , drop = F]
+        return(rna)
+      } else {
+        return(NULL)
+      }
     }, mc.cores = 20
   )
-
-  rna.data = do.call(rbind, rna.data)
+  na.id = unlist(lapply(rna.data, is.null))
+  rna.data = do.call(rbind, rna.data[which(na.id == F)])
   rna.data = CreateSeuratObject(rna.data)
+  return(rna.data)
 }
diff --git a/README.md b/README.md
index a18eb73..6edf37b 100644
--- a/README.md
+++ b/README.md
@@ -28,10 +28,8 @@ library(FastIntegration)
 # rna.list is the list of seurat object
 data = OneStopIntegration(
   rna.list = rna.list, 
-  tmp.dir = "../test/", 
-  max.cores = 30,
-  feature.to.integration = NULL,
-  feature.to.return = NULL
+  tmp.dir = "./test/", 
+  max.cores = 30
 )
 
 ```
@@ -49,8 +47,6 @@ FastFindAnchors(tmp.dir = "./", nCores = 50)
 genes = readRDS("FastIntegrationTmp/raw/1.rds")
 genes = rownames(genes)
 idx = split(1:length(genes), cut(1:length(genes), 20, labels = FALSE))
-pca = readRDS("raw_pca.rds")
-
 pbmclapply(
   1:20, function(i) {
     rna.integrated = FastIntegration(tmp.dir = "./", npcs = 1:30, slot = "data",