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OSCA
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3
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3.8k
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Cell cycle regression for scRNA-seq data
OSCA
batchelor
cell cycle regression
updated 5.4 years ago by
Aaron Lun
★ 29k • written 5.4 years ago by
ATpoint
★ 5.0k
3
votes
2
replies
2.9k
views
FeaturePlot in scater
scater
OSCA
3.6 years ago
Guandong Shang
▴ 40
0
votes
2
replies
1.9k
views
how to plot a fitting line on the testPseudotime
Pseudotime
testPseudotime
TSCAN
SingleCell
OSCA
3.4 years ago • updated 3.3 years ago
Guandong Shang
▴ 40
2
votes
1
reply
1.3k
views
() followed by [] within an argument in singlecell OSCA workflow
SingleCell
R
OSCA
updated 3.7 years ago by
jeroen.gilis
▴ 100 • written 3.7 years ago by
BioInfoBeginnerrr
• 0
2
votes
2
replies
841
views
How to read OSCA book?
BIOCON
OSCA
Bioconductor
16 months ago
zr
• 0
5 results • Page
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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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