eigenGenes: Eigengenes of clusters
In aarkatkar/gelClust: Clustering and pathway analysis using exponential distributions
eigenGenes R Documentation
Eigengenes of clusters
Description
Obtain eigengenes representative of each cluster found by gammaCluster. This is useful for creating heatmaps and simplifying the network.
Usage
eigenGenes(x, m)
Arguments
x
The original feature dataset used to construct the
gelMatrix
m
A matrix of membership probabilities obtained from the
membership attribute of gammaCluster
Value
A matrix of dimensions (n_eigengenes, n_samples) that contains
representations of each cluster.
Author(s)
Anooj Arkatkar
References
Langfelder, P., & Horvath, S. (2007). Eigengene networks for studying the relationships between co-expression modules. BMC systems biology, 1(1), 1-17.
See Also
gammaCluster
Examples
data(foldChange)
gm <- gelMatrix(foldChange)
clust <- gammaCluster(gm, 7)
egenes <- eigenGenes(foldChange, clust$membership)
aarkatkar/gelClust documentation built on May 6, 2022, 12:24 a.m.
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| eigenGenes | R Documentation |
Eigengenes of clusters
Description
Obtain eigengenes representative of each cluster found by gammaCluster. This is useful for creating heatmaps and simplifying the network.
Usage
eigenGenes(x, m)
Arguments
x |
The original feature dataset used to construct the
|
m |
A matrix of membership probabilities obtained from the
|
Value
A matrix of dimensions (n_eigengenes, n_samples) that contains representations of each cluster.
Author(s)
Anooj Arkatkar
References
Langfelder, P., & Horvath, S. (2007). Eigengene networks for studying the relationships between co-expression modules. BMC systems biology, 1(1), 1-17.
See Also
gammaCluster
Examples
data(foldChange) gm <- gelMatrix(foldChange) clust <- gammaCluster(gm, 7) egenes <- eigenGenes(foldChange, clust$membership)
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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