I am sorry, the test is unpaired...But my question remains Thanks, Eleni
On Wed, Mar 5, 2008 at 2:33 PM, Eleni Christodoulou <[EMAIL PROTECTED]> wrote: > Hello list, > > I am trying to apply the paired t.test between diseased and not diseased > patients to identify genes that are more expressed in the one situation > under the other. In order to retrieve the genes that are more expressed in > the positive disease state I do: > p.values<-c() > for(i in 1:length(Significant[,1])){ > p.values[i]<-try(t.test(positive[i,],negative[i,],alternative > ="greater")$p.value) > } > > which(p.values<0.01) > > > where Significant is my matrix of genes and their expression in tumors > and positive, negative are subsets of thes matrix. > Whn p<0.01, I reject the null hypothesis and I accept the alternative one, > that I have greater gene expression in positive than in negative. > I assume I must be doing sth wrong because the heatmap that I get with the > genes that pass the filter of p-value is wrong. > > Could anyone help me with this? > > thanks a lot, > Eleni > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.