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rcy3
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Going back to default settings in RCy3
Cytoscape
RCy3
RCy
updated 4 months ago by
alex.pico
▴ 20 • written 4 months ago by
David R
▴ 90
1
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1
reply
847
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How to select subnetworks, or regions, with a certain number of nodes or edges with RCy3
Network
RCy3
updated 4 months ago by
alex.pico
▴ 20 • written 4 months ago by
David R
▴ 90
1
vote
1
reply
300
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Cytohubba in RCY3
RCy3
Cytohubba
updated 4 months ago by
alex.pico
▴ 20 • written 4 months ago by
jzhan067
▴ 10
3
votes
7
replies
1.2k
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"Degree values are the same for all nodes in a network imported from WGCNA to Cytoscape using RCy3. Seeking insights and potential causes."
Cytoscape
RCy3
Networkvisualization
WGCNA
11 months ago
Ortega-C
▴ 10
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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 with no issues at all. If you're having trouble with Bioc installa…
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! I ran fgsea, gsva and camera(), the most significant pathways are different. For the purpose of finding pathw…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Michael Love
41k
Check the number of bootstrapped data per chromosome compared to the original, and then you can also look at its distribution. For this it'…
Comment: DNAString: Standard checksum function?
by
Henrik Bengtsson
★ 2.4k
For completeness: SEGUID v2 (https://www.seguid.org/), implemented in CRAN package **[seguid](https://cran.r-project.org/package=seguid)*…
Votes
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
package goseq seems to be not available on the latest version of R
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