randomWalkBySolve | R Documentation |
project data on graph by solving the linear equation (I - alpha*A) * E_sm = E * (1-alpha)
randomWalkBySolve(E, A, alpha, normalizeAjdMatrix = c("rows", "columns"))
E |
initial data matrix [NxM] |
A |
adjacency matrix of graph to network project on will be column-normalized. |
alpha |
projecting coefficient (1 - restart probability of random walk) |
network-projected gene expression
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