randomWalkByIterations {netSmooth}R Documentation

Smooth data on graph by computing iterations

Description

Smooth data on graph by computing iterations

Usage

randomWalkByIterations(
  f0,
  adjMatrix,
  alpha,
  normalizeAjdMatrix = c("rows", "columns"),
  tol = 1e-06,
  max.iter = 100
)

Arguments

f0

initial data matrix [NxM]

adjMatrix

adjacency matrix of graph to network smooth on will be column-normalized.

alpha

smoothing coefficient (1 - restart probability of random walk)

tol

the tolerance (stopping criterion)

max.iter

the maximum number of iterations before terminating

Value

network-smoothed gene expression


[Package netSmooth version 1.12.0 Index]