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P adjusted values in Deseq2
DESeq2
Statistics
written 16 months ago by
Jesus
• 0
0
votes
3
replies
319
views
Reading large file (15GB) in R
R
Rstudio
Bioconducter
statistics
updated 3 months ago by
Sean Davis
21k • written 4 months ago by
nabiyogesh
▴ 10
0
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0
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169
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News:
Ascona Workshop “Biological systems: from first principles to data-driven modelling and back” 27. 3. - 1. 4. 2022
theory
modeling
statistics
ascona
Workshop
7 months ago
Wolfgang Huber
13k
0
votes
2
replies
54
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regression analysis for epic array methylation data using limma
limma
Epigenetics
STATISTICS
R
15 hours ago • updated 7 hours ago
nabiyogesh
▴ 10
4 results • Page
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Answer: Question on RNA-Seq single sample data analysis in EdgeR
by
Gordon Smyth
45k
Yes, it is necessary to run `calcNormFactors`, as it always is for any DE analysis. It would also be sensible to filter non-expressed genes…
Comment: How to run GSVA with partially NA genes
by
blakebowen
• 0
I was a little worried about discarding so many genes, although sounds like this can't be helped. The results are still quite useful so I t…
Comment: ashr vs apeglm for interaction data
by
Ali Barry
▴ 30
Thanks, I'll trying playing a bit there. I have done some minor filtering already (requiring at least 5 counts in 10% of my samples, across…
Comment: ashr vs apeglm for interaction data
by
Michael Love
37k
I see why apeglm is conservative— the dispersion is very high within group. An idea would be to use ashr but do some additional filtering …
Comment: How to figure out the FC value from Limma
by
ATpoint
★ 1.2k
That’s an Excel problem, not a GEO/R problem or related to limma and Bioconductor.
Votes
Answer: How to run GSVA with partially NA genes
Answer: How to run GSVA with partially NA genes
Answer: How to properly use DESeq2 for an experiment
Comment: ashr vs apeglm for interaction data
Comment: How to figure out the FC value from Limma
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