Estimate labeling distribution for each vertex, based on provided labels using a Random Walk on graph
Estimate labeling distribution for each vertex, based on provided labels using a Random Walk on graph
propagateLabelsDiffusion( graph, labels, max.iters = 100, diffusion.fading = 10, diffusion.fading.const = 0.1, tol = 0.025, fixed.initial.labels = TRUE, verbose = TRUE )
graph |
igraph graph object Graph input |
labels |
vector of factor or character labels, named by cell names |
max.iters |
integer Maximal number of iterations (default=100) |
diffusion.fading |
numeric Constant used for diffusion on the graph, exp(-diffusion.fading * (edge_length + diffusion.fading.const)) (default=10.0) |
diffusion.fading.const |
numeric Another constant used for diffusion on the graph, exp(-diffusion.fading * (edge_length + diffusion.fading.const)) (default=0.1) |
tol |
numeric Absolute tolerance as a stopping criteria (default=0.025) |
fixed.initial.labels |
boolean Prohibit changes of initial labels during diffusion (default=TRUE) |
verbose |
boolean Verbose mode (default=TRUE) |
matrix from input graph, with labels propagated
propagateLabelsDiffusion(conosGraph, labels=cellAnnotations)
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