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scaling
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Scaling for p.heatmap
heatmaps
pheatmap
scaling
3.6 years ago
Bhavana
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2.4k
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Variance stabilising transformation to within given range
DESeq2
scaling
vst
updated 4.9 years ago by
Wolfgang Huber
★ 13k • written 4.9 years ago by
A
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Answer: When to use edgeR or limma
by
Gordon Smyth
53k
The short answer is that we generally prefer edgeR for applications with lots of small counts and limma for complex designs with random eff…
Comment: limpa-blank normalization and Spectronaut's PTM stoichiometry
by
Gordon Smyth
53k
I updated the above answer today.
Answer: When to use edgeR or limma
by
James W. MacDonald
68k
I would use edgeR's quasi-likelihood model for any analysis with a smaller number of observations (like 3 vs 3 or similar), but if you have…
Answer: limpa-blank normalization and Spectronaut's PTM stoichiometry
by
Gordon Smyth
53k
The short answer is that limpa reads standard feature-level intensities from Spectronaut or other quantifications tools. limpa is designed …
Comment: Question about the filterByExpr function inputs in edgeR
by
mohammedtoufiq91
▴ 10
@gordonsmyth Noted, thank you very much.
Votes
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
A: deseq2 - paired samples in 2 sequencing types with very different library sizes
Comment: Question about the filterByExpr function inputs in edgeR
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