5 weeks ago • updated 4 weeks ago
fer_talavera
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fer_talavera
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written 2.5 years ago by
Joshua
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updated 4.0 years ago by
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written 4.0 years ago by
Ram
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updated 5.6 years ago by
t.kuilman
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170
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written 5.6 years ago by
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updated 6.1 years ago by
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11k
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written 6.1 years ago by
TriS
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updated 6.8 years ago by
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written 6.8 years ago by
genomic8328
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updated 7.1 years ago by
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written 7.1 years ago by
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7.8 years ago
Tom
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written 7.9 years ago by
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8.2 years ago
MatthewGField
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Recent ...
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Comment: deseq2 results
by
sajadahmad41454
•
0
thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.
Comment: deseq2 results
by
swbarnes2
★
1.4k
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
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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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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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Gordon Smyth
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No, it does not mean that. `voom()` uses the design matrix with the W covariates, to compute precision weights but not to adjust the log-cp…
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