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seqgsea
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949
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Including sva results in SeqGSEA with data with batch effect
limma
deseq2
seqgsea
sva
deseq
4.8 years ago
kentfung
▴ 20
0
votes
1
reply
962
views
install SeqGSEA problem
seqgsea
updated 7.7 years ago by
Martin Morgan
25k • written 7.7 years ago by
jial2
• 0
0
votes
1
reply
1.2k
views
accounting for gene length with SeqGSEA
goseq
SeqGSEA
goseq
SeqGSEA
updated 8.5 years ago by
Xi Wang
• 0 • written 10.9 years ago by
Julie Leonard
▴ 110
0
votes
3
replies
1.8k
views
Running the GSEA algorithm
Microarray
GeneSetEnrichment
PGSEA
GSEABase
GSRI
SeqGSEA
Microarray
GeneSetEnrichment
GSRI
updated 10.1 years ago by
Steve Lianoglou
★ 13k • written 10.1 years ago by
Leif Väremo
▴ 70
0
votes
5
replies
3.4k
views
Running the GSEA algorithm
Infrastructure
PGSEA
GSEABase
SeqGSEA
Infrastructure
PGSEA
GSEABase
SeqGSEA
updated 10.1 years ago by
Julian Gehring
★ 1.3k • written 10.1 years ago by
enricoferrero
▴ 660
5 results • Page
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Comment: Extremely small p-values using Limma for proteomic data
by
James W. MacDonald
65k
If you ever find yourself using the `@` function, you should reconsider what you are doing. There are vanishingly small instances when an e…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Michael Love
42k
Here is some example code <https://gist.github.com/mikelove/cbbc84634b6854c865cb5eb08ad9b245>
Comment: How to use spike-in information (sequences from another species) with DESeq2::DE
by
maria.soler
• 0
Hi, I have a question barely related to this topic. Do you use a custom reference genome combining your organism and the one used as a spik…
Answer: Differential gene expression analysis results
by
ATpoint
★ 4.1k
Pease do not open multiple posts for the same issue: https://support.bioconductor.org/p/9158194/#9158222 The support site is not meant f…
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.
Votes
Comment: Log-cpm values from limma
Comment: Log-cpm values from limma
Comment: deseq2 results
Comment: deseq2 results
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
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