Hallo,
> fit12<-lmFit(qrg[,1:2])
> t12<-toptable(fit12,adjust="fdr",number=15000,genelist=qrg$genes[,1])
> t12
ID logFC t P.Value
adj.P.Val B
1560 orf6.2714 -5,95911144 -7,504537362 0,0000000000000616459272630
0,0000000000430961073320568 20,85141454
8689 SW23 2,709344216 3,41198098 0,0006449261297639210000000
0,0396758555030764000000000 -0,62704052
The data example comes from one experiment, where I want to know if genes are
differentially expressed. As I saw in the onlinehelp for toptable the value B
is the log odds that the gene is differentially expressed. When I now look at
the B value 20,85141454 it says that the gene orf6.2714 is in 20,85%
differentially expressed. Is it right? But how should I interpret the second
example SW23 with a negative B value?
Can anyone discribe it to me in easy word? ;-)
Thanks, Corinna
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