Hi Jarod
Mike overlooked one point in your question
On 11/07/14 12:05, jarod...@libero.it wrote:
If I interested in the genes that have a foldchange more than 0.5 and 2 I need
to use this comand is it right?
DESeq2 reports al fold changes on a log2 scale. So your limits of 0.5
and 2 for unlogarithmized fold changes translate to -1 and +1 on the
log2 scale (because 2^(-1)=0.5 and 2^1 = 1, with '^' meaning 'to the
power of').
Also, the 'lfcThreshold' parameter wants an _absolute_ log fold change.
Hence, you want:
ddsNoPrior <- DESeq(ddHTSeq, betaPrior=FALSE)
res <- results(ddsNoPrior, lfcThreshold=1, altHypothesis="greaterAbs")
to get a list of all genes with an absolute log2 fold change greater
than 1, i.e., all genes with a log2 fold change greater than 1 or less
than -1, i.e., all genes with fold change below 0.5 or above 2.
Then, in the results table, look at the log2FoldChange column to see
which genes went up and which went down.
Simon
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