Determine Pairwise Correlation Score

getClusterSimilarity()

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

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

Arguments

gobject	giotto object
expression_values	expression values to use
cluster_column	name of column to use for clusters
cor	correlation score to calculate distance

Value

Datatable

Details

Creates a 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.

Examples

data("mini_giotto_single_cell")

cluster_similarities = getClusterSimilarity(mini_giotto_single_cell,
                    cluster_column = 'leiden_clus')