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 1.6.0 Index]