[BioC] neverending GO problems

[michael watson (IAH-C)]

Do a t-test or similar using limma to find your differentially expressed gene list.
Then put this gene list into something like GOStats or topGO in bioconduictor, or David, Fatigo or Fatiscan online

________________________________

From: bioconductor-bounces at stat.math.ethz.ch on behalf of Barbara Cegielska
Sent: Fri 03/07/2009 8:58 AM
To: bioconductor at stat.math.ethz.ch; r-help-bounces at r-project.org
Subject: [BioC] neverending GO problems



Dear R-Users,

Thanks to your help I found some helpful informations. However, I still
have some doubts about how to use GO. What I should do first?  I should
do non-specific filtering or gene selection via t-test? Is it better to
do gene filtering on normalized on non-normalized data?

Regards,

Barbara Cegielska

_______________________________________________
Bioconductor mailing list
Bioconductor at stat.math.ethz.ch
https://stat.ethz.ch/mailman/listinfo/bioconductor
Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor