findModules.leading_eigen.once: Find Modules with Leading Eigen Edges
In Sage-Bionetworks/metanetwork: Network meta analysis
View source: R/FindModules.leading_eigen.once.R
findModules.leading_eigen.once R Documentation
Find Modules with Leading Eigen Edges
Description
This function tries to find densely connected subgraphs in a graph by
calculating the leading non-negative eigenvector of the modularity matrix of
the graph.
Usage
findModules.leading_eigen.once(adj, min.module.size)
Arguments
adj
A n x n upper triangular adjacency in the matrix class format.
min.module.size
Optional. Integer between 1 and n genes. (Default = 30)
Value
GeneModules = n x 3 dimensional data frame with column names as Gene.ID,
moduleNumber, and moduleLabel.
Sage-Bionetworks/metanetwork documentation built on April 27, 2022, 7:42 a.m.
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View source: R/FindModules.leading_eigen.once.R
| findModules.leading_eigen.once | R Documentation |
Find Modules with Leading Eigen Edges
Description
This function tries to find densely connected subgraphs in a graph by calculating the leading non-negative eigenvector of the modularity matrix of the graph.
Usage
findModules.leading_eigen.once(adj, min.module.size)
Arguments
adj |
A n x n upper triangular adjacency in the matrix class format. |
min.module.size |
Optional. Integer between 1 and n genes. (Default = 30) |
Value
GeneModules = n x 3 dimensional data frame with column names as Gene.ID, moduleNumber, and moduleLabel.
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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