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Recent ...
Replies
Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Dylan.Sheerin
•
0
Thank you very much, Gordon. I'll give voomLmFit a go!
And for comparisons between the cohorts I presume duplicateCorrelation with standar…
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Gordon Smyth
50k
Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…
Comment: Log-cpm values from limma
by
Gordon Smyth
50k
No, it does not mean that. `voom()` uses the design matrix, including the W covariates, to compute precision weights but not to adjust the …
Comment: Extremely small p-values using Limma for proteomic data
by
Abbey
•
0
This is the code. The only part I changed was adding the contrasts.fit as you suggested. Thanks for taking a look!
```
# Load necessary …
Comment: Extremely small p-values using Limma for proteomic data
by
James W. MacDonald
65k
Probably. I would not expect such large fold changes. But without seeing your code, who knows?
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