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statistical test
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8
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4.7k
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Comparing between two differential expression analysis - two different fold changes
Deseq
deseq2
differential gene expression
rnaseq
statistical test
6.2 years ago
Marina
▴ 40
0
votes
6
replies
1.5k
views
Effect of biological variation on tests
biologicalreplicates
statistical test
updated 7.7 years ago by
Gordon Smyth
50k • written 16.6 years ago by
Yogi Sundaravadanam
▴ 320
2
votes
2
replies
893
views
DSS understanding delta option and posterior probability
posterior pobability
statistical test
theory
updated 4.0 years ago by
James W. MacDonald
65k • written 4.0 years ago by
stephanie.rialle
• 0
0
votes
1
reply
872
views
diffHiC statistical test to check differences between conditions
diffHiC
statistical test
updated 7.9 years ago by
Aaron Lun
★ 28k • written 7.9 years ago by
lazaris
• 0
4 results • Page
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Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Michael Love
41k
The segmentation and block length are key parameters. We recommend for example blocks of length ~500kb. It would help if you would post yo…
Answer: Handling multiple differential expression comparisons
by
Michael Love
41k
It's typical that results are presented with each group having its own FDR control. So presenting each comparison with the adjusted p-va…
Comment: Too many significant genes when integrating gtex and tcga
by
ATpoint
★ 4.1k
These two datasets are from completely different experiments / batches. It is utterly meaningless to compare them. I would suggest comparat…
Answer: fgsea significant result
by
ATpoint
★ 4.1k
Set a fixed seed before running this. Note that a FDR of 0.25 in fgsea is wildly and overly lenient. See https://support.bioconductor.o…
Answer: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Poonam
• 0
Hi Michael, I think there is something wrong with the generation of nullranges. I was working with small RNA and methylation overlaps. …
Votes
Print Differentially Expressed Exons From Dexseq Results
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Answer: limma Intercept vs No-intercept models completely changing DMR results?
Answer: CombineArrays for EPIC and EPIC V2
Answer: Too many significant genes when integrating gtex and tcga
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