Showing : version compatibility • reset
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A recent update to readr cause issues loading data with GEOquery 2.50.0
version compatibility bug
updated 6.0 years ago by ★ 13k • written 6.0 years ago by • 0
0
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4
replies
4.5k
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DESeq failure after update: unable to find an inherited method for function mcols for signature Rle
deseq2 deseq r version compatibility
updated 7.1 years ago by 43k • written 7.1 years ago by • 0
0
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3
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1.6k
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Deseq2 versions discrepancy
deseq2 version compatibility
updated 7.5 years ago by 43k • written 7.5 years ago by • 0
0
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1
reply
991
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issue with version compatibility
version compatibility
updated 7.8 years ago by 25k • written 7.8 years ago by • 0
0
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7
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2.5k
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Use of minfi using (maverick3.2 and Developer) on Yosemite OS
version compatibility minfi
9.6 years ago morrisht • 0
7
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5
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4.3k
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Is Bioconductor 3.0 compatible with R 3.1.2?
version compatibility
updated 10.1 years ago by ▴ 220 • written 10.1 years ago by ★ 1.6k
6 results • Page 1 of 1
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Comment: Merge Replicates vs Mixed Model by gabriel.hoffman ▴ 160
It is almost always better to retain the full observed data, if the statistical software is able to model the repeated measures. This is a…
Comment: makeContrastsDream for Interaction by gabriel.hoffman ▴ 160
The simplest way to handle contrasts with an interaction term is to create a new variable. Lets consider a simpler case with variables `Se…
Answer: DESeq2 sizefactors counfounded with biological treatment by James W. MacDonald 67k
Your question is off-topic for this site, which is primarily intended to help people with technical issues with Bioconductor packages rathe…
Comment: Epic v2 Annotation CpG_maf source? by Meghan • 0
Thank you, so much, for this reply!
Comment: txdb.mmusculus.ucsc.mm10.knowngene issue on X chromosome by remi-xavier.coux ▴ 10
That indeed worked, thanks a lot for the help (and for karyoploteR)
Votes
Comment: txdb.mmusculus.ucsc.mm10.knowngene issue on X chromosome
Answer: Epic v2 Annotation CpG_maf source?
Answer: bioconductor packages on bioconda
Filtering low variance genes for WGCNA
A: Filtering low variance genes for WGCNA
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