Description Usage Arguments Value

View source: R/randomWalkByIterations.R

Smooth data on graph by computing iterations

1 2 3 4 5 6 7 8 | ```
randomWalkByIterations(
f0,
adjMatrix,
alpha,
normalizeAjdMatrix = c("rows", "columns"),
tol = 1e-06,
max.iter = 100
)
``` |

`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 |

network-smoothed gene expression

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