randomWalkByIterations: Smooth data on graph by computing iterations

Description Usage Arguments Value

View source: R/randomWalkByIterations.R

Description

Smooth data on graph by computing iterations

Usage

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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


netSmooth documentation built on Nov. 8, 2020, 5:33 p.m.