randomWalkByIterations {netSmooth} | R Documentation |
Smooth data on graph by computing iterations
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