`getClusterSimilarity`¶

getClusterSimilarity

Description¶

Creates data.table with pairwise correlation scores between each cluster.

Usage¶

getClusterSimilarity(
  gobject,
  spat_unit = NULL,
  feat_type = NULL,
  expression_values = c("normalized", "scaled", "custom"),
  cluster_column,
  cor = c("pearson", "spearman")
)

Arguments¶

Argument	Description
`gobject`	giotto object
`spat_unit`	spatial unit
`feat_type`	feature type
`expression_values`	expression values to use
`cluster_column`	name of column to use for clusters
`cor`	correlation score to calculate distance

Details¶

Creates data.table with pairwise correlation scores between each cluster and: the group size (# of cells) for each cluster. This information can be used together with mergeClusters to combine very similar or small clusters into bigger clusters.

Value¶

data.table