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)
## S4 method for signature 'matrix' randomWalkBySolve(E, A, alpha, normalizeAjdMatrix = c("rows", "columns"))
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) |
network-smoothed gene expression