doRandomWalkCluster

Source: R/clustering.R

Cluster cells using a random walk approach.

doRandomWalkCluster(
  gobject,
  name = "random_walk_clus",
  nn_network_to_use = "sNN",
  network_name = "sNN.pca",
  walk_steps = 4,
  walk_clusters = 10,
  walk_weights = NA,
  return_gobject = TRUE,
  set_seed = F,
  seed_number = 1234
)

Arguments

gobject

giotto object
name

name for cluster
nn_network_to_use

type of NN network to use (kNN vs sNN)
network_name

name of NN network to use
walk_steps

number of walking steps
walk_clusters

number of final clusters
walk_weights

cluster column defining the walk weights
return_gobject

boolean: return giotto object (default = TRUE)
set_seed

set seed
seed_number

number for seed

Value

giotto object with new clusters appended to cell metadata

Details

See cluster_walktrap function from the igraph package in R for more information.