RWR: Function that performs a random Walk with restart (RWR) on a...

In scapGNN: Graph Neural Network-Based Framework for Single Cell Active Pathways and Gene Modules Analysis

Function that performs a random Walk with restart (RWR) on a given graph

Description

Function that performs a random Walk with restart (RWR) on a given graph

Usage

RWR(W, ind.positives, gamma = 0.6)

Arguments

W	: adjacency matrix of the graph
ind.positives	: indices of the "core" positive examples of the graph. They represent to the indices of W corresponding to the positive examples
gamma	: restart parameter (def: 0.6)

Value

a list with three elements: - p : the probability at the steady state - ind.positives : indices of the "core" positive examples of the graph (it is equal to the same input parameter - n.iter : number of performed iterations

a vector

scapGNN documentation built on Aug. 8, 2023, 9:06 a.m.