@@ -88,7 +88,7 @@ export_rds <- function(data, location){
8888export_lrt_summary <- function (deseq_results , location , args ){
8989 significant_genes <- sum(deseq_results $ padj < args $ padj , na.rm = TRUE )
9090 total_genes <- sum(! is.na(deseq_results $ padj ))
91- summary_output <- utils :: capture.output(base :: summary(deseq_results ))
91+ summary_output <- utils :: capture.output(DESeq2 :: summary(deseq_results )) # need to use not standard summary
9292 outliers <- base :: gsub(" .*: " , " " , summary_output [6 ])
9393 low_counts <- base :: gsub(" .*: " , " " , summary_output [7 ])
9494 mean_count <- base :: gsub(" [^0-9]" , " " , summary_output [8 ])
@@ -108,7 +108,7 @@ export_lrt_summary <- function(deseq_results, location, args){
108108 " If the number of significant features is substantial, consider including the interaction term in your design formula " ,
109109 " for a more detailed differential expression analysis.\n\n " ,
110110 " For further insights and to explore detailed contrasts using the Wald test for the complex design formula, " ,
111- " please visit the **Complex Interaction Analysis** tab for more information.\n\n "
111+ " please visit the correspondent tab for more information.\n\n "
112112 )
113113 base :: writeLines(md_content , con = location )
114114}
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