Open pajanne opened 7 years ago
it is because of the NA values in the adjusted p-value column
deTable <- read.csv("t47d_Treatment_DEA_Prog-vs-Control_all.csv")
table(is.na(deTable$padj))
FALSE TRUE 26586 3500
Possibly we could filter out the NA values, but I couldn't see a way to do that in Galaxy yet
Well, they seems to be filered out anyway then when you do the compute but the cleaned dataset still have them. If the column has 'NA' we could use the filter tool c1=NA?
5: Cleaned dataset 30,086 lines
Compute on data 5 26,586 lines
using Compute an expression on every row tool and expression c7<0.05
strange...