reduce_net: Wrapper of the BFC algorithm to plot a pathway specific...

In LucaGiudice/Simpati: Pathway-based classifier exploits patient similarity network paradigm

Description

Given a patient similarity network, for each patient class, it iterates the BFC algorithm in order to create small subclasses of similar patients.

Usage

reduce_net(mat, nAs, thGroup = 0.2, thW = 0.2, A_bol = T)

Arguments

mat	adjacency matrix of a patient similarity network
nAs	number of patients composing the second class
thGroup	Default 0.2, double value between 0 and 1 determining the percentage of best friends to keep in the end as final subclass
thW	Default 0.2, double value between 0 and 1 determining the percentage of best friends to considers for a root (1BFS are the 60 percentage of the patients most similar to the root)
A_bol	Default TRUE, if the first class is signature class of the PSN passed as matrix (mat)

Value

The nodes of each subclass that must be kept in the plot and the nodes that must be summerized in the legend

LucaGiudice/Simpati documentation built on Jan. 27, 2022, 11:42 p.m.