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AnnotationHubData
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3
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8
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2.6k
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AnnotationForge::makeOrgPackage GO Ids mistake
AnnotationHubData
AnnotationForge
2.0 years ago
Saber_J
▴ 10
3
votes
3
replies
1.2k
views
I can't run PhyloProfile
AnnotationHubData
PhyloProfile
24 months ago
S.t
▴ 10
1
vote
2
replies
581
views
AnnotationHub data for Mus musculus seems to be missing, while previously it was there
tximeta
AnnotationHub
AnnotationHubData
6 months ago
Thon
• 0
0
votes
2
replies
1.0k
views
How to fix warning in makeTxDbFromGFF() when using Gencode M30 (mouse)?
GenomicFeatures
AnnotationHubData
tximeta
updated 19 months ago by
Michael Love
42k • written 19 months ago by
Pratik Mehta
▴ 10
0
votes
13
replies
2.9k
views
EnrichGO not working with db created from annotationhub
clusterProfiler
AnnotationHubData
GO
updated 24 months ago by
Guido Hooiveld
★ 3.9k • written 24 months ago by
Lucía
▴ 10
0
votes
1
reply
634
views
a BioC/R package that display the genome sequence/ mRNA exons/protein domains
AnnotationHubData
updated 3.5 years ago by
Kevin Blighe
★ 3.9k • written 3.5 years ago by
Bogdan
▴ 670
0
votes
0
replies
388
views
Getting the exon co-ordinates and location
exon
AnnotationHubData
12 months ago
mahima.g
• 0
7 results • Page
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Comment: deseq2 results
by
sajadahmad41454
• 0
thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.
Comment: deseq2 results
by
swbarnes2
★ 1.4k
It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…
Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Dylan.Sheerin
• 0
Thank you very much, Gordon. I'll give voomLmFit a go!
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Gordon Smyth
50k
Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…
Comment: Log-cpm values from limma
by
Gordon Smyth
50k
No, it does not mean that. `voom()` uses the design matrix, including the W covariates, to compute precision weights but not to adjust the …
Votes
Comment: deseq2 results
Comment: deseq2 results
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
Answer: Extremely small p-values using Limma for proteomic data
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