Greetings, I'm kicking tires on the new DESeq2 package -- very nicely done, btw, thanks!.
I have a quick question about the use of the variance and rlog transformations. It seems that both functions prefer to receive a DESeqDataSet with a design set to formula(~ 1). I say "prefer" because while rlogTransformation will error-out when the incoming dds has a different formula, the varianceStablizingTransform walks through it. If this in fact is the case, would it make sense to simply ensure this to be true by specifically hammering the design() of the dds to be as such from within the function itself? Unless I am missing something (if so, feel free to point it out), it seems like it would make the end-user's life easier w/o sacrificing much (anything) as the user wouldn't be forced to make a copy of the dds to pass to the function before it is called (and perhaps firing off a warning() when the incoming dds need to be changed as such). Thanks again, -steve -- Steve Lianoglou Computational Biologist Department of Bioinformatics and Computational Biology Genentech [[alternative HTML version deleted]] _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel