View source: R/correlation_filtering_clustering.R
choose_cluster_scExp | R Documentation |
This functions takes as input a SingleCellExperiment object and a number of cluster to select. It outputs a SingleCellExperiment object with each cell assigned to a correlation cluster in colData. Also calculates a hierarchical clustering of the consensus associations calculated by ConsensusClusterPlus.
choose_cluster_scExp(
scExp,
nclust = 3,
consensus = FALSE,
hc_linkage = "ward.D"
)
scExp |
A SingleCellExperiment object containing consclust in metadata. |
nclust |
Number of cluster to pick (3) |
consensus |
Use consensus clustering results instead of simple hierarchical clustering ? (FALSE) |
hc_linkage |
A linkage method for hierarchical clustering. See cor. ('ward.D') |
Returns a SingleCellExperiment object with each cell assigned to a correlation cluster in colData.
data("scExp")
scExp_cf = correlation_and_hierarchical_clust_scExp(scExp)
scExp_cf = choose_cluster_scExp(scExp_cf,nclust=3,consensus=FALSE)
table(scExp_cf$cell_cluster)
scExp_cf = consensus_clustering_scExp(scExp)
scExp_cf_consensus = choose_cluster_scExp(scExp_cf,nclust=3,consensus=TRUE)
table(scExp_cf_consensus$cell_cluster)
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