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VOOM
•
reset
0
votes
2
replies
160
views
limma-voom: Calculate the log-fold change in gene expression within a sample
limma
RNASeq
voom
written 12 days ago by
taur.vil
• 0
0
votes
2
replies
190
views
voom(calcNormFactors()) for normalization of RNAseq counts for WGCNA
Voom
Limma
WGCNA
4 weeks ago
Gimena
• 0
5
votes
2
replies
560
views
Filter genes by expression for voomLmFit
DEG
edgeR
limma
voom
filterByExpr
updated 5 months ago by
Gordon Smyth
50k • written 5 months ago by
annikagable
• 0
7
votes
2
replies
805
views
limma::voom vs edgeR::voomLmFit - when to use?
edgeR
limma
voom
RNASeq
muscat
updated 5 months ago by
Gordon Smyth
50k • written 5 months ago by
annikagable
• 0
3
votes
4
replies
533
views
Is it appropriate to apply linear mixed models to Voom transformed data?
stats
r
RNASeqData
limma
voom
5 months ago
pl23
• 0
2
votes
4
replies
609
views
limma + voom combine voomWithQualityWeights and duplicateCorrelation
voom
RNASeq
limma
5 months ago
Tyler Sagendorf
▴ 10
5
votes
3
replies
705
views
limma: More differentially expressed genes when factor included in model than when used as blocking factor
voom
blocking
limma
updated 6 months ago by
Gordon Smyth
50k • written 6 months ago by
Gerhard Thallinger
▴ 180
1
vote
1
reply
984
views
How to do GSEA over limma + voom DGE ?
GSEA
voom
limma
updated 9 months ago by
Gordon Smyth
50k • written 9 months ago by
manuelsokolov
• 0
1
vote
5
replies
1.0k
views
Does voom normalization quantile create difference in DGE genes when distribution of patients is similar (no big differences in quantiles)?
limmaGUI
normalization
limma
voom
Normalization
updated 10 months ago by
Gordon Smyth
50k • written 10 months ago by
manuelsokolov
• 0
0
votes
1
reply
458
views
How to do PFS after Voom + Limma DGE ?
RNASeqData
limma
voom
PFS
DGE
updated 10 months ago by
James W. MacDonald
65k • written 10 months ago by
manuelsokolov
• 0
1
vote
6
replies
2.7k
views
Can I use EdgeR log2(cpm) instead of voom log2(cpm) to be analyzed as microarray data?
limma
edger
timecourse
without replicate
voom
written 7.5 years ago by
Camila Orellana
▴ 10
11 results • Page
1 of 1
Recent ...
Replies
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Thanks Gordon for the advice! I ran fgsea, gsva and camera(), the most significant pathways are different. For the purpose of finding pathw…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Michael Love
41k
Check the number of bootstrapped data per chromosome compared to the original, and then you can also look at its distribution. For this it'…
Comment: DNAString: Standard checksum function?
by
Henrik Bengtsson
★ 2.4k
For completeness: SEGUID v2 (https://www.seguid.org/), implemented in CRAN package **[seguid](https://cran.r-project.org/package=seguid)*…
Comment: fgsea significant result
by
Chris
• 0
Thanks ATpoint! Setting a fixed seed can reproduce the same result. However, if someone else analyze the same data with different seed, the…
Comment: SGSeq: moving toward diffex from SGSeq analysis
by
Sara
• 0
Thank you for your response. I have another question about saving the sgvc result as a CSV file. I would appreciate your help, please. ``` …
Votes
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Handling multiple differential expression comparisons
Answer: fgsea significant result
Answer: fgsea significant result
package goseq seems to be not available on the latest version of R
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ATpoint
★ 4.1k
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Ben
▴ 50
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to
Sam
▴ 10
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Gordon Smyth
50k
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Zainab
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