hubGeneSignificance: Hubgene significance
In WGCNA: Weighted Correlation Network Analysis
hubGeneSignificance R Documentation
Hubgene significance
Description
Calculate approximate hub gene significance for all modules in network.
Usage
hubGeneSignificance(datKME, GS)
Arguments
datKME
a data frame (or a matrix-like object) containing eigengene-based connectivities of all
genes in the network.
GS
a vector with one entry for every gene containing its gene significance.
Details
In datKME rows correspond to genes and columns to modules.
Value
A vector whose entries are the hub gene significances for each module.
Author(s)
Steve Horvath
References
Dong J, Horvath S (2007) Understanding Network Concepts in Modules, BMC Systems Biology
2007, 1:24
WGCNA documentation built on Jan. 22, 2023, 1:34 a.m.
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| hubGeneSignificance | R Documentation |
Hubgene significance
Description
Calculate approximate hub gene significance for all modules in network.
Usage
hubGeneSignificance(datKME, GS)
Arguments
datKME |
a data frame (or a matrix-like object) containing eigengene-based connectivities of all genes in the network. |
GS |
a vector with one entry for every gene containing its gene significance. |
Details
In datKME rows correspond to genes and columns to modules.
Value
A vector whose entries are the hub gene significances for each module.
Author(s)
Steve Horvath
References
Dong J, Horvath S (2007) Understanding Network Concepts in Modules, BMC Systems Biology 2007, 1:24
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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