alpacaWBMlouvain: Generalized Louvain method for bipartite networks

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

Generalized Louvain method for bipartite networks

Description

This function implements a generalized form of the Louvain method for weighted bipartite networks.

Usage

alpacaWBMlouvain(net.frame)

Arguments

net.frame

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

List where first element is the community membership vector and second element is the contribution score of each node to its community's portion of the bipartite modularity.

Examples

a <- 1 # example place holder

netZoo/netZooR documentation built on Oct. 16, 2024, 10:23 p.m.