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propagateLabelsDiffusion

Estimate labeling distribution for each vertex, based on provided labels using Random Walk


Description

Estimate labeling distribution for each vertex, based on provided labels using Random Walk

Usage

propagateLabelsDiffusion(
  graph,
  labels,
  max.iters = 100,
  diffusion.fading = 10,
  diffusion.fading.const = 0.1,
  tol = 0.025,
  verbose = TRUE,
  fixed.initial.labels = TRUE
)

Arguments

graph

input graph

labels

vector of factor or character labels, named by cell names

max.iters

maximal number of iterations (default=100)

tol

numeric Absolute tolerance as a stopping criteria (default=0.025)

verbose

boolean Verbose mode (default=TRUE)

fixed.initial.labels

boolean Prohibit changes of initial labels during diffusion (default=TRUE)


conos

Clustering on Network of Samples

v1.4.0
GPL-3
Authors
Viktor Petukhov [aut], Nikolas Barkas [aut], Peter Kharchenko [aut], Weiliang Qiu [ctb], Evan Biederstedt [aut, cre]
Initial release

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