matToNet: Inferring gene regulons from Gene Regulatory Network

In hmutpw/PIDC: Infering Gene Regulatory Network (GRN) using partial information decomposition and context (PIDC) method

Description

Inferring gene regulons from gene regulatory network using weighted square matrix from PIDC output.

Usage

matToNet(
  weightMat,
  methods = c("aracne", "clr", "mrnet", "mrnetb"),
  cutoff = NULL
)

Arguments

weightMat	A square matrix whose element should be positive values.
methods	The name of the network inference algorithm. Default: aracne.
cutoff	Set the cutoff of regulatory networks. Default: NULL, means inferring cutoff by itself.

Value

A data.frame or a list with regulatory networks.

Examples

data(expMat)
PIDC_res <- PIDC(expMat)
PIDC_net <- matToNet(PIDC_res)

hmutpw/PIDC documentation built on Jan. 8, 2022, 12:20 a.m.