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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
2.2 years ago
omicsresearch
• 0
0
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2
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3.1k
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Error with TCGA package - TCGAbiolinks
TCGAbiolinks
RNASeq
CancerData
updated 3.6 years ago by
Tiago C. Silva
▴ 270 • written 3.7 years ago by
JAcky
• 0
2
votes
3
replies
2.5k
views
Aggregating genes from multiple GSE's, ranking them, then building a PPI network.
GEOquery
CancerData
limma
RCy3
CancerInSilico
updated 4.3 years ago by
Steve Lianoglou
★ 13k • written 4.3 years ago by
Caitlin
▴ 50
1
vote
1
reply
1.9k
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Extracting a list of genes from the Gene Expression Omnibus with Geoquery.
Microarray
GEOquery
cancerdata
MicroarrayData
updated 4.5 years ago by
James W. MacDonald
68k • written 4.5 years ago by
Caitlin
▴ 50
0
votes
0
replies
1.2k
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Job:
PDRA in Computational Biophysics and Cancer Research, University of Manchester, UK
CancerData
StructuralGenomics
VirusStability
pH-dependence
4.6 years ago
jim.warwicker
• 0
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Answer: tximeta cannot open annotation gtf?
by
ATpoint
★ 5.0k
> Timeout of 60 seconds was reached You have to increase the default timeout limits for downloads, `options(timeout=3600)`. GENCODE serve…
Answer: GSEA error
by
James W. MacDonald
68k
At a very high level, the way non-model organisms are annotated is by using blast to find orthologs in other species that are well annotate…
Comment: Unable to find ENTREZ IDs
by
Adithi
• 0
Hi James, Thank you so much for your reply. My main goal is to find ortholog genes from chinese hamster gene symbols to mouse gene symbols…
Comment: Unable to find ENTREZ IDs
by
Adithi
• 0
Hi James, Thank you so much for your reply. My main goal is to find ortholog genes from chinese hamster gene symbols to mouse gene symbols…
Answer: Unable to find ENTREZ IDs
by
James W. MacDonald
68k
Those are the 'symbols', and are a concatenation of LOC and the NCBI Gene ID (what used to be called an Entrez Gene ID). As an example:http…
Votes
Answer: GSEA error
Answer: OrgDb for maize
Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Answer: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Answer: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
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