splitClusters {MetaNeighbor}R Documentation

Split clusters according to symmetric AUROC similarity.

Description

This function computes hierarchical clustering to group similar clusters, interpreting the AUROC matrix as a similarity matrix, then uses a standard tree cutting algorithm to obtain groups of similar clusters. Note that the cluster hierarchy corresponds exactly to the dendrogram shown when using the plotHeatmap function.

Usage

splitClusters(mn_scores, k)

Arguments

mn_scores

A symmetric AUROC matrix as generated by MetaNeighborUS.

k

The number of desired cluster sets.

Value

A list of cluster sets, each cluster set is a character vector containg cluster labels.

See Also

plotHeatmap


[Package MetaNeighbor version 1.10.0 Index]