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
)
giotto object
name for cluster
type of NN network to use (kNN vs sNN)
name of NN network to use
number of walking steps
number of final clusters
cluster column defining the walk weights
boolean: return giotto object (default = TRUE)
set seed
number for seed
giotto object with new clusters appended to cell metadata
See cluster_walktrap
function from the igraph
package in R for more information.