sccore (version 1.0.6)

propagateLabelsDiffusion: Estimate labeling distribution for each vertex, based on provided labels using a Random Walk on graph

Description

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

Usage

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

Value

matrix from input graph, with labels propagated

Arguments

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)

Examples

propagateLabelsDiffusion(conosGraph, labels=cellAnnotations)