ne.PCA: ne.PCA function

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

ne.PCA function

Description

Node and edge Prioritization-based Community Analysis framework

Usage

ne.PCA(nodes, edges, r = 0.8, core = 10, druGet = TRUE)

Arguments

nodes	data.frame, two columns:object,label(0:candidates/1:seeds).
edges	data.frame, two columns:gene symbol A,gene symbol B.
r	default 0.8,Restart probability of random walk,interval is (0,1).
core	default 10,Top percentile of ranking for object,interval is (0,100].
druGet	TRUE or FALSE,default TRUE,module drugability statistics and prediction will implement if druGet=TRUE.

Author(s)

Fan Wang <[e-mail]>

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