diff --git a/Dim_reduction_clustering_DEanalysis/DE_analysis_functions.R b/Dim_reduction_clustering_DEanalysis/DE_analysis_functions.R
index af4fd7d..546d8ed 100644
--- a/Dim_reduction_clustering_DEanalysis/DE_analysis_functions.R
+++ b/Dim_reduction_clustering_DEanalysis/DE_analysis_functions.R
@@ -10,7 +10,8 @@ library(data.table)
 # min.pct = minimum percentage of cells expressing the gene
 # thresh.use = minimum AVERAGE DIFFERENCE for filtering, in log scale (base e), e.g. for 1.5 fold change, type log(1.5)
 # data.info.col = column number for columns in data.info that contain metadata (not clusters...)
-
+ 
+ 
 FindMarkers.MAST <- function(object, id1, id2, min.pct, thresh.use,data.info.col = 1:13){
 				
 				cells.1 <- names(object@ident[object@ident == id1])