randomWalkBySolve,matrix-method {netSmooth}R Documentation

Smooth data on graph by solving the linear equation (I - alpha*A)^T * E_sm^T = E^T * (1-alpha)

Description

Smooth data on graph by solving the linear equation (I - alpha*A)^T * E_sm^T = E^T * (1-alpha)

Usage

## S4 method for signature 'matrix'
randomWalkBySolve(E, A, alpha,
  normalizeAjdMatrix = c("rows", "columns"))

Arguments

E

initial data matrix [NxM]

A

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

alpha

smoothing coefficient (1 - restart probability of random walk)

Value

network-smoothed gene expression


[Package netSmooth version 1.2.0 Index]