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Showing :
ontology
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4
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2
replies
5.1k
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Is there any description available for KEGG Pathway Edge Types
KEGG
SystemsBiology
KEGGgraph
ontology
3.0 years ago
Wuschel
▴ 10
1
vote
0
replies
1.4k
views
adjusted p-values with topGO elim.KS method
topGO
Ontology
DifferentialExpression
3.1 years ago
Kevin Gregory
▴ 10
1
vote
2
replies
1.1k
views
gene ontologies for a set of genes
gene
ontology
4.2 years ago
Bogdan
▴ 670
1
vote
5
replies
2.0k
views
Gene Ontology analysis
ontology
edger
limma
ncbi
organism package
updated 5.6 years ago by
Gordon Smyth
53k • written 5.6 years ago by
babak.loghmani
▴ 20
3
votes
3
replies
1.8k
views
Discrepancies between topGO output and input
go
topGO
gene
ontology
enrichment
updated 6.3 years ago by
James W. MacDonald
68k • written 6.3 years ago by
t.bergmann
• 0
1
vote
1
reply
1.5k
views
News:
Gene Ontology Official Workshop - Montreal, October 16, 2018
gene ontology
go
ontology
bioinformatics
genomics
News
7.1 years ago
laurent.albou
• 0
3
votes
3
replies
1.5k
views
source of GO ontology and GO annotations in Bioconductor for GO.db
GO
ontology
GO.db
updated 7.1 years ago by
apkmirrorproject
• 0 • written 7.1 years ago by
marcinjoachimiak
▴ 10
7 results • Page
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Answer: Using DESeq2 for age prediction
by
ATpoint
★ 5.0k
The package has no such inbuilt function but you are free to use the vst (or any normalized) counts to train a regression model or classifi…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Aaron already answered your question. If you have an HDF5 file, it will be read in as a `TENxMatrix` object, which isn't actually read in -…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
• 0
Very strange. We have the same package versions. I tried adding the mtx.class, type, and delayed arguments, but it's still making the coun…
Comment: DESeq2 for candidate gene analysis
by
piffelpaff
▴ 20
thank you so much for answering Dr. Love!
Answer: DESeq2 for candidate gene analysis
by
Michael Love
43k
Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…
Votes
A: Multi-level experiments in Limma
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Answer: DESeq2 for candidate gene analysis
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