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flowploidy
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export processed data from flowploidy
flowPloidy
8 months ago
Zdenek Skala
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installing flowPloidy
flowPloidyData
flowPloidy
2.4 years ago
Punn
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Cell cycle analysis subG1
flowploidy
apoptosis
cell cycle
flowCore
5.9 years ago
nina.hahn
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flowPloidy: how to visualize data on logarythmic x axis
flowPloidy
flowcore
flow cytometry
6.3 years ago
kovacik
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Comment: competitive enrichment test yields too few significant results, self-contained t
by
sophiasteck007
• 0
Thank you for the help
Comment: competitive enrichment test yields too few significant results, self-contained t
by
bbao
▴ 10
Hi Gordon, Thanks for the advice, I gave camera a try, and it yielded around ~1,000 statistically significant gene sets from the same 11,0…
Answer: competitive enrichment test yields too few significant results, self-contained t
by
Gordon Smyth
52k
Actually, preranked GSEA is known to be highly anti-conservative, because it ignores inter-gene correlations, and can give significant resu…
Comment: competitive enrichment test yields too few significant results, self-contained t
by
ATpoint
★ 4.9k
Lets see your code. 8000 significant genesets indicate a flaw somewhere.
Comment: Install old version of DESeq2
by
James W. MacDonald
68k
To add to what Lori asks, this builds for me, using Dockerhub on Windows: ``` C:\Users\jmacdon\Desktop>docker build . [+] Building 477.7s …
Votes
Comment: competitive enrichment test yields too few significant results, self-contained t
Answer: competitive enrichment test yields too few significant results, self-contained t
Regarding the issue of background genes in enrichment analysis
Best practice for handling large data (matrix with >2^31-1 non-zero elements) in SingleCellExperiment?
Comment: How can I avoid artifacts in gene set/pathway scoring by UCell and similar algor
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