randomWalkByIterations: Smooth data on graph by computing iterations

In netSmooth: Network smoothing for scRNAseq

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

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