splitTestClusters {MetaNeighbor} | R Documentation |
This function computes hierarchical clustering to group similar test clusters, using similarity to train clusters as features, then uses a standard tree cutting algorithm to obtain groups of similar clusters. Note that the cluster hierarchy does *not* correspond to the row ordering of plotHeatmapPretrained function, which uses a different heuristic.
splitTestClusters(mn_scores, k)
mn_scores |
An AUROC matrix as generated by MetaNeighborUS, usually with the "trained_model" option. |
k |
The number of desired cluster sets. |
A list of cluster sets, each cluster set is a character vector containg cluster labels.