net_summary_bin {KBoost}R Documentation

Function to summarize the GRN filtered with a threshold,

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)


[Package KBoost version 1.0.0 Index]