24 Jan 2013 00:54
Re: differential expression analysis for 1 vs 1 experiment
Hi, On Wed, Jan 23, 2013 at 6:31 PM, Himanshu Sharma <hsharm03@...> wrote: > Dear All, > I have data without replicates. So, I have a single file for condition and a single file for control. I know doing a differential analysis will not make any sense statistically. But, I was still interested as a biologist to figure this out. Any suggestion to how I should go ahead with the same?. > I usually use affy package and limma for my analysis but I don't think limma works for one vs one comparison. > > Kindly let me know of any strategy or other tools or software that could be useful for doing the same. > Thanks in advance. (1) RMA normalize (2) get the `exprs()` (3) Calculate the log fold change between your two samples (4) look at genes/probes with highest abs() of value from step 3 (5) Verify any claims from step 4 with an independent assay. -steve -- -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact _______________________________________________ Bioconductor mailing list Bioconductor@... https://stat.ethz.ch/mailman/listinfo/bioconductor Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor
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