doRandomWalkCluster | R Documentation |
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 = FALSE,
seed_number = 1234
)
gobject |
giotto object |
name |
name for cluster, default to "random_walk_clus" |
nn_network_to_use |
type of NN network to use (kNN vs sNN), default to "sNN" |
network_name |
name of NN network to use, default to "sNN.pca" |
walk_steps |
number of walking steps, default = 4 |
walk_clusters |
number of final clusters, default = 10 |
walk_weights |
cluster column defining the walk weights |
return_gobject |
boolean: return giotto object (default = TRUE) |
set_seed |
set seed (default = FALSE) |
seed_number |
number for seed |
See cluster_walktrap
function from the igraph
package in R for more information.
giotto object with new clusters appended to cell metadata
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