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Combat_Seq
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Meta-analysis on RNA-seq data sets
meta-analysis
sva
Combat_Seq
RNAseq
2 days ago • updated 1 day ago
Travis
• 0
5
votes
2
replies
1.4k
views
ComBat_seq function in sva package does not return a matrix
sva
ComBat
ComBat-seq
Bioconductor
ComBat_seq
12 months ago
Federico
▴ 10
1
vote
2
replies
1.0k
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Is 100K genes too many to run ComBat_seq on?
RNASeqRData
combat_Seq
BatchEffect
3.0 years ago • updated 2.7 years ago
zeegzaag
• 0
3 results • Page
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Comment: How should I run ssGSEA Hallmark Enrichment Analysis?
by
Ginny
• 0
I think the other side of this question is that the non protein coding genes would be in the "background", they would influence the ranking…
Comment: ISO a solution to rank-order introns by transcript
by
James W. MacDonald
67k
There's an error in the last line. Note that `sapply(lengths(z), seq_len)` will return a `list` because the lengths vary. We need a vector,…
Comment: BiomaRt - improved access to Ensembl ?
by
Mike Smith
★ 6.5k
Why do you want to use `useMart()` rather than `useEnsembl()`? They are essentially the same (`useEnsembl()` will eventually call `useMart(…
Comment: Installing Bioconductor packages in Docker
by
devarti.mahakalkar
• 0
I have installed BiocManager on my base image rather than having it as base image. RUN Rscript -e "install.packages('BiocManager', re…
Comment: Meta-analysis on RNA-seq data sets
by
Travis
• 0
Thank you for your suggestions and explanation of your approach!
Votes
Answer: ISO a solution to rank-order introns by transcript
Answer: ISO a solution to rank-order introns by transcript
Answer: Issues with retrieving Zea mays genes dataset: biomaRt error: looks like we're c
Answer: Issues with retrieving Zea mays genes dataset: biomaRt error: looks like we're c
Answer: addPatternDensity in 'qsea' takes too much time
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