RWRs.CN: RWRs.CN function

In wf-frank2019/ne.PCA: The node and edge Prioritization based Community Analysis framework

RWRs.CN function

Description

Measure the correlation of candidate nodes and known nodes

Usage

RWRs.CN(nodes, edges, r = 0.8, core = 10)

Arguments

nodes	data.frame, two columns:object,object label(0/1),0 represents candidate nodes and 1 represents known nodes(seeds).
edges	data.frame, two columns:interactorA,interactorB,A and B have a certain interaction relationship.
r	default 0.8,Restart probability of random walk,interval is (0,1),r is preferably above 0.5.
core	default 10,Top percentile of ranking for candidates,interval is (0,100].Top core percent nodes and their edges will be extracted as core network.

Author(s)

Fan Wang

wf-frank2019/ne.PCA documentation built on May 4, 2022, 4:47 p.m.