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design
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Once again a "Model matrix not full rank"
DESeq2
design
coldata
updated 1 day ago by
swbarnes2
★ 1.3k • written 3 days ago by
arfranco
▴ 130
2
votes
3
replies
294
views
edgeR, 3 x 2 design with a batch effect and contrasts
design
edgeR
contrasts
updated 6 weeks ago by
Gordon Smyth
50k • written 6 weeks ago by
JKim
• 0
2
votes
2
replies
263
views
Question about extracting co-efficients for pairwise comparisons in edgeR
limma
fit
design
RNASeq
edgeR
7 weeks ago
Sabiha
▴ 20
2
votes
2
replies
291
views
Limma design for 3 replicated time courses comparing treatment vs placebo
design
limma
12 weeks ago
SamGG
▴ 350
3
votes
6
replies
843
views
Question on constructing design matrix and defining contrasts for analysis
wgcna
DESeq2
edgeR
limma
design
updated 11 months ago by
Gordon Smyth
50k • written 11 months ago by
mohammedtoufiq91
▴ 10
5 results • Page
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Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Intent to delete when going home. Sorry for that!
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Gordon Smyth
50k
Please ask you own question. Inserting your own dataset into someone else's question like this is very impolite. I have already answered m…
Comment: package goseq seems to be not available on the latest version of R
by
Gordon Smyth
50k
limma most certainly is available. It installs in R 4.4.0 and Bioc 3.19 for all platforms without any issues. It has not had any period of …
Comment: package goseq seems to be not available on the latest version of R
by
Patrycja
▴ 20
limma package also isn't available.Is there any information when these packages will be available?
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Thanks Gordon for the advice!
Votes
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
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
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