Entering edit mode
veronique.storme
•
0
@veroniquestorme-12161
Last seen 7.6 years ago
Dear Rory,
I found the solution to my previous questions. However, now I am comparing the results from the available edgeR analysis with the robust edgeR pipeline with QL method based on raw read counts. This is the pipeline that I want to use. I found the raw read counts by
reads.5 = dba.count(prol.5, peaks=NULL, score=DBA_SCORE_READS) bindingMatrix.5 = dba.peakset(reads.5, bRetrieve=TRUE, DataType=DBA_DATA_FRAME)
However, these counts are different from:
de.5.edger = dba.analyze(contrast.5, method=DBA_EDGER, bFullLibrarySize=FALSE, bTagwise=TRUE, bReduceObjects=FALSE) names(de.5.edger) de.5.edger$contrasts de.5.edger$contrasts[[1]]$edgeR$counts[1:5,]
and as a result, I also get totally different DE genes.
How do I get the same counts with the dba.count function?
kind regards,
Veronique
Dear all,
I found the answer myself. When I ask for
I can see that when all negative values are put to 1, I obtain the same reads as in
Veronique
You can turn off the subtraction of control reads by setting
bSubControl=FALSE
in the call todba.analyze()
.-R