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Hi Lana, You might need to give us a bit more detail. But some general comments can be made. Since p-values are probabilities they take values only in the range 0-1. So while you have what you believe are distinct p-value profiles, they almost surely mix at some point. If you you have some sense of how to parameterize those distributions you could try to use some sort of mixture model approach to assign p-values (and hence genes) to a particular profile, but that will almost surely have large error rates. I don't think I understand why you would look at p-values? Why not identify gene expression profiles and use those to map genes. That makes much more sense to me, but perhaps I have not understood your question. best wishes Robert Lana Schaffer wrote: > Hi, > I have genes whose pvalues behave as 2 different profiles over a time course > treatment effect. I would like to separate the correlated profiles into 2 sets > of genes. How can I do this in R? > > > Lana Schaffer > Biostatistics/Informatics > The Scripps Research Institute > DNA Array Core Facility > La Jolla, CA 92037 > (858) 784-2263 > (858) 784-2994 > schaffer at scripps.edu > > > > [[alternative HTML version deleted]] > > _______________________________________________ > 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 > -- Robert Gentleman, PhD Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M2-B876 PO Box 19024 Seattle, Washington 98109-1024 206-667-7700 rgentlem at fhcrc.org