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Recent ...
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Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
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Dylan.Sheerin
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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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Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…
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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
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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!
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# Load necessary …
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Probably. I would not expect such large fold changes. But without seeing your code, who knows?
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