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updated 9.2 years ago by
Guangchuang Yu
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written 9.2 years ago by
sarah.blackstone7734
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Comment: Getting a large intercept with DESeq2
by
Michael Love
43k
Thanks James -- Denise you can check the "note on factor levels" in the vignette.
And I'd recommend `plotCounts()` for looking at individu…
Comment: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
As a trivial example, consider this:
```
> model.matrix(~Treatment, data.frame(Treatment = factor(rep(1:3, each = 4))))
(Intercept) Tre…
Answer: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
The default parameterization in R is a treatment-contrasts parameterization that sets one of your groups as the baseline. So the intercept …
Answer: Must I do pseudobulk analysis on Cell Surface Protein Labeling data of Single C
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ATpoint
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5.0k
There is no "MUST", but pseudobulk aggregation is beneficial to a) enable use of tested and robust methods such as limma (though it could u…
Answer: Post translational modifications and phosphoproteomics in limpa?
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Gordon Smyth
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Yes, we use limpa for PTMs ourselves. I assume your data is preprocessed so that each row corresponds to a PTM. You replace dpcQuant() with…
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