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MutationalPatterns
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1.8k
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Error in seqlevelsStyle after creating a BSgenome package
bsgenome
MutationalPatterns
4.1 years ago • updated 4.0 years ago
sibyl.bertrand
• 0
0
votes
0
replies
1.4k
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Error in NMF estimation
MutationalPatterns
NMF
5.0 years ago
TRASA
• 0
2
votes
2
replies
992
views
MutationalPatterns Signature Database Versions
MutationalPatterns
3.0 years ago
Dario Strbenac
★ 1.5k
0
votes
0
replies
663
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Do you know a sofware to draw pedigrees + haplotypes?
SequencingData
STR
MutationalPatterns
pedigree
HapMap
2.8 years ago
Negar
• 0
0
votes
2
replies
606
views
could not find function "get_known_signatures"
MutationalPatterns
updated 17 months ago by
Vincent J. Carey, Jr.
6.7k • written 17 months ago by
anton.kratz
▴ 60
5 results • Page
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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!
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'…
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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