@@ -632,7 +632,7 @@ get_results_proteins <- function(dep) {
632632
633633 # Obtain average enrichments of conditions versus the control condition
634634 ratio <- as.data.frame(row_data ) %> %
635- tibble :: column_to_rownames(" name" ) %> %
635+ # tibble::column_to_rownames("name") %>%
636636 dplyr :: select(dplyr :: ends_with(" diff" )) %> %
637637 signif(. , digits = 3 ) %> %
638638 tibble :: rownames_to_column()
@@ -642,7 +642,7 @@ get_results_proteins <- function(dep) {
642642
643643 # Select the adjusted p-values and significance columns
644644 pval <- as.data.frame(row_data ) %> %
645- tibble :: column_to_rownames(" name" ) %> %
645+ # tibble::column_to_rownames("name") %>%
646646 dplyr :: select(dplyr :: ends_with(" p.val" ),
647647 dplyr :: ends_with(" p.adj" ),
648648 dplyr :: ends_with(" significant" )) %> %
@@ -665,6 +665,7 @@ get_results_proteins <- function(dep) {
665665 table <- table %> % dplyr :: arrange(desc(significant ))
666666 colnames(table )[1 ]<- c(" Gene Name" )
667667 colnames(table )[2 ]<- c(" Protein IDs" )
668+ table <- table %> % dplyr :: select(grep(" [^Protein.names]" ,colnames(table )), " Protein.names" )
668669 # table$Gene_name<-table$name
669670 return (table )
670671}
0 commit comments