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959
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Profiling bioconductor packages in a straightforward fashion
HPC
profiling
performance
4.3 years ago
Jack
• 0
0
votes
5
replies
2.1k
views
How to plot benchmark result of R/ Bioconductor package (getting curve or line graph)?
r
benchmark
performance
ggplot2
9.1 years ago
Jurat Shahidin
▴ 80
2
votes
2
replies
1.4k
views
Any way to speed up splitting relatively big GRanges objects by given threshold ?
r
granges
split
performance
updated 9.2 years ago by
Michael Lawrence
★ 11k • written 9.2 years ago by
Jurat Shahidin
▴ 80
1
vote
8
replies
3.3k
views
most efficient way to read adjacency matrix to make networkd3 graph
r
iterators
performance
updated 9.5 years ago by
phil.chapman
▴ 150 • written 9.5 years ago by
chrisclarkson100
▴ 50
1
vote
2
replies
1.8k
views
DESeq2 performance information for counts tables with very large rows number
deseq2
performance
9.8 years ago
atisou
• 0
5 results • Page
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Answer: Are individual-mouse-based statistics possible in CellChat?
by
ATpoint
★ 5.0k
Not a Bioconductor package, I commented on the crosspost at https://www.biostars.org/p/9617271/
Comment: DESeq2 - how to shrink LFC for pairwise comparisons having multiple groups
by
ATpoint
★ 5.0k
apeglm is more cumbersome than ashr as with apeglm the coefficients need to be explicitely available in the resultsNames.So, you need to re…
Comment: BiocParallel (and DESeq2) - wrong args for environment subassignment
by
Martin Morgan
25k
I see rstudioapi in the `sessionInfo()`. RStudio does not support forked ('multicore') processes. Does the BiocParallel example work when y…
Comment: BiocParallel (and DESeq2) - wrong args for environment subassignment
by
Michael Love
43k
Given that this is an issue with BiocParallel on your machine and we have a minimal reproducible example, you may want to repost the issue.…
Comment: BiocParallel (and DESeq2) - wrong args for environment subassignment
by
Benjamin
• 0
Still happening using pre-existing size factors estimating dispersions gene-wise dispersion estimates: 15 workers mean-dis…
Votes
A: Filtering read counts matrix: how to deal with duplicated gene symbols, differen
Comment: limpa analysis advice
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
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