net_summary_bin: Function to summarize the GRN filtered with a threshold,

In Luisiglm/KBoost: Inference of gene regulatory networks from gene expression data

Description

Function to summarize the GRN filtered with a threshold,

Usage

net_summary_bin(GRN, TFs, thr, a, b)

Arguments

GRN	An inferred network
TFs	A vector with indexes of the rows of GRN which correspond to TFs.
thr	a scalar between 0 and 1, a threshold for posterior probabilities.
a	parameter for Katz and PageRank centrality (default the inverse of the largest eigenvalue of GRN.
b	parameter for Katz and PageRank centrality (default b = 1).

Value

list with table version of the GRN, outdegree and indegree, and closeness centrality.

Examples

data(D4_multi_1)
Net = kboost(D4_multi_1)
Net_Summary = net_summary_bin(Net$GRN)

Luisiglm/KBoost documentation built on May 13, 2021, 7:27 p.m.