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Bsmooth
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How to handle BSsmooth.tstat for single replicate samples? Error: need at least two non-NA values to interpolate
bsseq
Bsmooth
updated 6 months ago by
Adam
• 0 • written 9.2 years ago by
unmeshj
• 0
0
votes
1
reply
616
views
BSmooth does give DMRs without no replicate data sets
bsmooth
without replicate
dimension
5.8 years ago
nilaycan
• 0
0
votes
6
replies
1.8k
views
BSmooth 'names' attribute must be the same length as the vector
bsseq
bsmooth
6.5 years ago
ravi.tharakan
• 0
0
votes
0
replies
1.1k
views
bsseq - dmrFinder error
bsseq r package
bsmooth
dmrFinder
6.9 years ago
parker
• 0
0
votes
6
replies
1.9k
views
BSmooth error during the smoothing step for a subset of files
bsseq
bsmooth
updated 7.1 years ago by
Peter Hickey
▴ 740 • written 7.1 years ago by
brandon.le
• 0
1
vote
3
replies
1.4k
views
BSmooth: mclapply error when smoothing using BSmooth
bsseq
bsmooth
7.3 years ago
zuupcat
• 0
6 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: 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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