Error in lfcShrink
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@claudio_carril-24100
Last seen 3.9 years ago
University of Liège, Belgium

Dear community I am writing to you because I have a problem with DESEq2 when I try to use lfcShrink. After that, it is not possible to continue with the analysis

This error started to happen when I run my analysis in Ubuntu 20.04.1 and use R 4.0.3, when I ran the same analysis in the previous version of R there was not a problem

The line:

> resShrunk <- lfcShrink(dds, contrast = c("condition", "3N_D", "20C_G2"), cooksCutoff=F)

An the error:

> resShrunk <- lfcShrink(dds, contrast = c("condition", "3N_D", "20C_G2"), cooksCutoff=F)
Error in lfcShrink(dds, contrast = c("condition", "3N_D", "20C_G2"), cooksCutoff = F) : 
  type='apeglm' shrinkage only for use with 'coef'

Thanks in advance

lfcShrink DESeq2 • 3.3k views
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You can either use coef or you can switch back to type="normal' which was the previous default value for type.

The reason why it depends on the version, is that type="normal" was deprecated over two release cycles, and now is no longer default (this was printed as a message to the console for two releases, before the change was made). It performs worse than apeglm/ashr. Changes are documented here. See description of shrinkage estimators in the vignette for more details.

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Thank you so much for your help!

Now it is working properly

Best regards

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tcalvo ▴ 100
@tcalvo-12466
Last seen 16 months ago
Brazil

Hello, Claudio.

lfcShrink does not support apeglm + contrast. You should use the coef argument instead of contrast when using apeglm. This will solve your issue.

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Thank you, I see that

But that with that I have more question about how to modify the coef to use the apeglm. Because, the coef it does not give me the combinations I am looking for

but for that I am going to open another question in the forum

best regards

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Sorry, been absent from here. Did you find a solution? I usually just change the levels of my factor variable, usually the base level to solve the issue. Probably there are better ways to do it.

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