regulatorAnalysis.undirected_weighted: Function to Identify Network Regulators from Undirected...

In Sage-Bionetworks/metanetwork: Network meta analysis

Function to Identify Network Regulators from Undirected Weighted Networks

Description

Identifies network un-weighted regulators from Weighted undirected networks

Usage

regulatorAnalysis.undirected_weighted(adj, G, h = 3, n = 100, FDR = 0.05)

Arguments

adj	Required. An n x n weighted upper triangular adjacency in the matrix class format.
G	Required. A named vector of node scores.
h	Optional. Neighborhood search distance (h nodes away from current node) (Default = 3)
n	Optional. number of permuations to run. (Default = 100)
FDR	Optional. Adjusted pvalue cutoff for regulator selection. (Default = 0.05)

Value

scores = n x 4 dimensional list with columns giving neighborhood based score, adjusted pvalue, whether a gene is regulator/global regulator.

Sage-Bionetworks/metanetwork documentation built on April 27, 2022, 7:42 a.m.