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BiocWorkflowTools
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Export sample data to excel after taxonamy assignment
BiocWorkflowTools
3.4 years ago
c.poulton
• 0
0
votes
0
replies
620
views
Author footnotes in BiocWorkflowTools::f1000_article template
BiocWorkflowTools
rmarkdown
3.9 years ago
helucro
▴ 70
2
votes
6
replies
974
views
Multiple problems with BiocWorkflowTools
BiocWorkflowTools
updated 4.2 years ago by
Mike Smith
★ 6.5k • written 4.2 years ago by
alan.ocallaghan
▴ 160
1
vote
4
replies
1.5k
views
Does BiocWorkflowTools package generate F1000Reseach/Bioconductor-stype PDF at once?
workflows
biocworkflowtools
bioconductor
5.9 years ago
Koki
▴ 10
3
votes
1
reply
669
views
LaTeX Error with BiocWorkflowTools
biocworkflowtools
updated 6.0 years ago by
Mike Smith
★ 6.5k • written 6.0 years ago by
shbrief
▴ 20
3
votes
2
replies
1.7k
views
Issue with pandoc-citeproc when rendering the f1000 article Rmd file from BiocWorkFlowTools
BiocWorkflowTools
rmarkdown
updated 6.9 years ago by
Andrzej Oleś
▴ 750 • written 6.9 years ago by
Leonardo Collado Torres
★ 1.0k
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: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Thanks Gordon for the advice!
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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