Re: Interspecies differential expression of orthologs with Edger
assaf www <[email protected]> Tue, 9 Sep 2014 00:31:05 +0300
| Newsgroups | gmane.science.biology.informatics.conductor |
|---|---|
| Message-ID | <CADN=fbmxgnZpY2FS30waqP854YPuoRzzfAmsjAkso+yEVbo0Nw@mail.gmail.com> |
thanks for the ideas, you probably mean this method ? http://www.broadinstitute.org/gsea/index.jsp also will check if DexSeq can help here Assaf On Mon, Sep 8, 2014 at 11:55 PM, Steve Lianoglou <lianoglou.steve-RuTDbSqP/[email protected]> wrote: > Hi, > > On Mon, Sep 8, 2014 at 1:41 PM, assaf www <[email protected]> wrote: > > Hi Steve > > > > I will look into limma::voom (was not aware of this approach). > > This is "just" another approach to do differential expression analysis > with rna-seq data -- ie. one could use edgeR, DESeq2, limma::voom, > etc. to do "standard" differential expression (count) testing. > > > Do you mean GO enrichment (e.g., David/Go-seq/etc), is so then no, its > not > > what I mean. > > No, I do not mean GO enrichment, I really meant "gene set enrichment > analysis", it's "a thing" ... look at the help and references listed > under ?camera and ?roast, I thought your motivation to group > "features" together was to do something along those lines but from > what you say below, it seems not (?) > > > I specifically would like to ask if Edger (or similar tools) could give > > reasonable DE estimation by comparing the sum of counts of groups of > genes > > (instead single genes). > > It's not clear to me what "reasonable" means in this case, to be honest. > > > This is a completely different thing - it may possibly allow > working-around > > the issue of paralogy-orthology when performing cross-species DE > analysis, > > and may have multiple other advantages I believe (regardless of > > cross-species things). > > (Of course, in case it doesn't violate the basic assumptions of these DE > > analyzes, and can keep the data properly normalized - this is my > question) > > Without getting too involved here, my gut feeling is that going about > things in this way is making things worse ... not better. > > I'm not sure where to start pointing you for some help, and this might > be entirely unrelated (but I'll let you figure that one out ;-), but > maybe you can take a look at the paper written by the DEXSeq folks: > > Drift and conservation of differential exon usage across tissues in > primate species > http://www.pnas.org/content/110/38/15377.short > > I admit that this isn't directly doing what you are doing, but perhaps > they touch upon some issues that might be of help to you ... to be > honest, however, I haven't given it a good read through, even though > it has been on my "readme" list for sometime (over a year, > apparently!). > > -steve > > -- > Steve Lianoglou > Computational Biologist > Genentech > [[alternative HTML version deleted]] _______________________________________________ Bioconductor mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/bioconductor Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor