alpacaComputeWBMmat: Compute modularity matrix for weighted bipartite network

In netZoo/netZooR: Unified methods for the inference and analysis of gene regulatory networks

Compute modularity matrix for weighted bipartite network

Description

This function computes the modularity matrix for a weighted bipartite network.

Usage

alpacaComputeWBMmat(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

a <- 1 # example place holder

netZoo/netZooR documentation built on June 8, 2024, 6:20 a.m.