10 months ago • updated 22 days ago
shepherl
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13 months ago • updated 11 months ago
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written 5.1 years ago by
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18 months ago
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2.1 years ago • updated 18 months ago
shepherl
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2.0 years ago
pgauthi1
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2.6 years ago • updated 2.1 years ago
shepherl
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3.4 years ago • updated 3.0 years ago
shepherl
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786
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4.2 years ago
shepherl
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4.3 years ago
shepherl
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4.5 years ago
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4.6 years ago • updated 4.5 years ago
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4.7 years ago • updated 4.6 years ago
shepherl
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4.8 years ago • updated 4.7 years ago
shepherl
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4.9 years ago
shepherl
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5.0 years ago
shepherl
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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
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
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 with the W covariates, to compute precision weights but not to adjust the log-cp…
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