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Hello,
Thank you for your package. It helps me a lot. (especially I don"t want to use R)
I found that some padj values are nan when corresponding p-values are not nan.
Among 12,308 genes, 1,223 padj values are nan, even though all foldchange values are not nan and only 43 raw p-values are nan.
I have two questions:
Why some raw p-values have nan values even when their fc and stat values are not nan?
Why padj values have nan values when raw p-values are not nan?
The text was updated successfully, but these errors were encountered:
Hi @ggg5438, thank you for your interest in our package.
This is not a bug.
Unadjusted. p-values may be set to nan when a gene contains an extreme outlier value. The adjusted p-value for this gene will be in turn set to nan. This can be controlled by setting cooks_filter to True or False in DeseqStats.
A padj may be set to nan even though its unadjusted counterpart is not nan due to independent filtering (independent_filter in in DeseqStats).
Hello,
Thank you for your package. It helps me a lot. (especially I don"t want to use R)
I found that some padj values are nan when corresponding p-values are not nan.
Among 12,308 genes, 1,223 padj values are nan, even though all foldchange values are not nan and only 43 raw p-values are nan.
I have two questions:
The text was updated successfully, but these errors were encountered: