computeWBMmat: Compute modularity matrix for weighted bipartite network
In meghapadi/ALPACA:
Description
Usage
Arguments
Value
Examples
Description
This function computes the modularity matrix for a weighted bipartite network.
Usage
1
computeWBMmat(edge.mat)
Arguments
edge.mat
A table of edges, with the first column representing the TFs ("from" nodes) and the second column representing the targets ("to" nodes). The third column contains the edge weights corresponding to the network of interest.
Value
Modularity matrix with rows representing TFs ("from" nodes) and columns repesenting targets ("to" nodes)
Examples
1
meghapadi/ALPACA documentation built on May 20, 2019, 6:47 p.m.
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Description Usage Arguments Value Examples
Description
This function computes the modularity matrix for a weighted bipartite network.
Usage
1 | computeWBMmat(edge.mat)
|
Arguments
edge.mat |
A table of edges, with the first column representing the TFs ("from" nodes) and the second column representing the targets ("to" nodes). The third column contains the edge weights corresponding to the network of interest. |
Value
Modularity matrix with rows representing TFs ("from" nodes) and columns repesenting targets ("to" nodes)
Examples
1 |
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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