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msigdb
•
reset
2
votes
2
replies
1.2k
views
fgsea stuck in an infinite loop in the middle of the run
GSEABase
fgsea
msigdb
GeneSetEnrichment
14 months ago
Assa Yeroslaviz
★ 1.5k
0
votes
0
replies
543
views
Filtering the genesets for fgseaMultiLevel
msigdb
fgsea
msig
17 months ago
Tanvi
• 0
0
votes
2
replies
1.1k
views
How to make GSEAplot with chip set
geneset
GeneSetEnrichment
msigdb
19 months ago
Seongsu
• 0
4
votes
3
replies
1.2k
views
Problem converting msigdb Human symbols to Zebrafish in gmt format
msigdb
gmt
GSEA
written 20 months ago by
Georg
• 0
4
votes
4
replies
4.8k
views
How should I run ssGSEA Hallmark Enrichment Analysis?
ssgsea
GSVA
biotype
proteincoding
msigdb
updated 13 months ago by
tifaGis
• 0 • written 23 months ago by
snijesh
▴ 200
1
vote
1
reply
2.5k
views
Cleaning GeneSets from GSEA
msigdb
GSEABase
GSVA
updated 3.6 years ago by
Robert Castelo
★ 3.4k • written 3.6 years ago by
forlani.luca
• 0
1
vote
1
reply
2.6k
views
Tutorial:
Update gene symbols in GeneSetCollection
gseabase
msigdb
genesetcollection
Tutorial
written 7.4 years ago by
t.kuilman
▴ 170
2
votes
2
replies
5.4k
views
Clusterprofiler - MSigDB gene set analysis - Updated
clusterprofiler
GSEA
MSIGDB
updated 7.7 years ago by
Guangchuang Yu
★ 1.2k • written 7.7 years ago by
thomasjenner333
• 0
1
vote
2
replies
1.8k
views
Update to MSigDB derivates for romer()?
limma
romer
msigdb
updated 10.2 years ago by
James W. MacDonald
68k • written 10.2 years ago by
Jon Manning
▴ 40
0
votes
0
replies
1.7k
views
hyperGTest for MSigDB categories
category
gostats
msigdb
hypergeometric test
10.3 years ago
petyuk
▴ 70
10 results • Page
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Comment: Getting a large intercept with DESeq2
by
Michael Love
43k
Thanks James -- Denise you can check the "note on factor levels" in the vignette. And I'd recommend `plotCounts()` for looking at individu…
Comment: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
As a trivial example, consider this: ``` > model.matrix(~Treatment, data.frame(Treatment = factor(rep(1:3, each = 4)))) (Intercept) Tre…
Answer: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
The default parameterization in R is a treatment-contrasts parameterization that sets one of your groups as the baseline. So the intercept …
Answer: Must I do pseudobulk analysis on Cell Surface Protein Labeling data of Single C
by
ATpoint
★ 5.0k
There is no "MUST", but pseudobulk aggregation is beneficial to a) enable use of tested and robust methods such as limma (though it could u…
Answer: Post translational modifications and phosphoproteomics in limpa?
by
Gordon Smyth
53k
Yes, we use limpa for PTMs ourselves. I assume your data is preprocessed so that each row corresponds to a PTM. You replace dpcQuant() with…
Votes
Answer: What R/Bioconductor tools would you recommend for the analysis of sncRNA, specif
Using edgeR or DESeq2 to analyze allele-specific expression?
Answer: DESeq2 design for haplotype MPRA
Answer: Failure to download resources (MeSHDb) from AnnotationHub
Answer: Failure to download resources (MeSHDb) from AnnotationHub
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