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Comment: deseq2 results
by
swbarnes2
★
1.3k
It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…
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!
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
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Gordon Smyth
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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
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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
•
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This is the code. The only part I changed was adding the contrasts.fit as you suggested. Thanks for taking a look!
```
# Load necessary …
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