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cancerdata
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Job:
Postdoc for computational biology on cancer omics data analysis at Liang lab of Wistar Institute, Philadelphia, US
omics
cancerdata
Pathways
4 months ago
omicsresearch
• 0
0
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2
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1.4k
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Error with TCGA package - TCGAbiolinks
TCGAbiolinks
RNASeq
CancerData
updated 21 months ago by
Tiago C. Silva
▴ 270 • written 22 months ago by
JAcky
• 0
2
votes
3
replies
1.3k
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Aggregating genes from multiple GSE's, ranking them, then building a PPI network.
GEOquery
CancerData
limma
RCy3
CancerInSilico
updated 2.5 years ago by
Steve Lianoglou
★ 13k • written 2.5 years ago by
Caitlin
▴ 50
1
vote
1
reply
1.2k
views
Extracting a list of genes from the Gene Expression Omnibus with Geoquery.
Microarray
GEOquery
cancerdata
MicroarrayData
updated 2.6 years ago by
James W. MacDonald
65k • written 2.6 years ago by
Caitlin
▴ 50
0
votes
0
replies
701
views
Job:
PDRA in Computational Biophysics and Cancer Research, University of Manchester, UK
CancerData
StructuralGenomics
VirusStability
pH-dependence
2.7 years ago
jim.warwicker
• 0
5 results • Page
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Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Intent to delete when going home. Sorry for that!
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Gordon Smyth
50k
Please ask you own question. Inserting your own dataset into someone else's question like this is very impolite. I have already answered m…
Comment: package goseq seems to be not available on the latest version of R
by
Gordon Smyth
50k
limma most certainly is available. It installs in R 4.4.0 and Bioc 3.19 for all platforms without any issues. It has not had any period of …
Comment: package goseq seems to be not available on the latest version of R
by
Patrycja
▴ 20
limma package also isn't available.Is there any information when these packages will be available?
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Thanks Gordon for the advice!
Votes
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Handling multiple differential expression comparisons
Answer: fgsea significant result
Answer: fgsea significant result
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