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Hub Genes
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WGCNA with distance matrix only from newick data.
WGCNA
eigengene
hub genes
6.5 years ago
yifangt
▴ 20
3
votes
2
replies
2.5k
views
Finding nearest neighbors of given hub gene in a co-expression network module
wgcna
rbgl
graph
coexpression
hub genes
updated 8.1 years ago by
Peter Langfelder
★ 3.0k • written 8.1 years ago by
Alan Smith
▴ 150
0
votes
1
reply
2.5k
views
question on visANT after WGCNA
wgcna
visant
module
hub genes
updated 8.2 years ago by
etycksen
• 0 • written 8.2 years ago by
agattorosso
• 0
14
votes
4
replies
14k
views
WGCNA Hub Gene Selection Method
WGCNA
Hub Genes
KmE
Intramodular Connectivity
updated 8.9 years ago by
Peter Langfelder
★ 3.0k • written 8.9 years ago by
brohawndg
▴ 150
4 results • Page
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Answer: Help with infinite recursion - non-zero exit status in installation of GenomeInf
by
James W. MacDonald
66k
Maybe just try again? ``` > install("GenomeInfoDbData", force = TRUE) 'getOption("repos")' replaces Bioconductor standard repositorie…
Comment: Help with infinite recursion - non-zero exit status in installation of GenomeInf
by
Brandon
• 0
Hello, As an update, I am able to install and load GenomeInfoDb successfully in a fresh renv in my WSL distro. However, I'm not sure what …
Comment: slingshot: error with plot3d.SlingshotDataSet
by
Kelly Street
• 0
This issue has been addressed [on GitHub][1]. [1]: https://github.com/kstreet13/slingshot/issues/249
Comment: Slightly different count plots from R and spreadsheet
by
Michael Love
42k
Change timepoint to an integer in the data frame: ``` as.numeric(as.character( <factor> )) ``` Then it should make points instead of boxe…
Answer: WGNCA kME vs. kIM
by
Vitor
• 0
You can compare kIM and kME within module assignments. The plot below is for my network (I used Pearson correlation and signed network). !…
Votes
Including squared covariates to account for non-linear dependencies in differential gene expression analysis
DESeq2 DE gene expression of scRNA-seq pseudobulk
Answer: Multiple factor DSEq2 result generates weird volcano plot
DESeq2 for single cell pseudobulk processing
Simultaneously adding two different covariates in the model gives error in DESeq2.
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