doRandomWalkCluster#
Last Updated: Sep 07, 2023
Description#
Cluster cells using a random walk approach.
Usage#
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 = FALSE,
seed_number = 1234
)
Arguments#
|
giotto object |
|
name for cluster, default to “random_walk_clus” |
|
type of NN network to use (kNN vs sNN), default to “sNN” |
|
name of NN network to use, default to “sNN.pca” |
|
number of walking steps, default = 4 |
|
number of final clusters, default = 10 |
|
cluster column defining the walk weights |
|
boolean: return giotto object (default = TRUE) |
|
set seed (default = FALSE) |
|
number for seed |
Details#
See cluster_walktrap
function from the igraph package in R for more
information.
Value#
giotto object with new clusters appended to cell metadata