Run consensus clustering

Usage

cluster_consensus(
  x,
  experiment,
  assay,
  max_k = 6,
  repetitions = 1000,
  item_fraction = 0.8,
  feature_fraction = 1,
  algorithm = "hc",
  distance = "pearson",
  seed = 1,
  title = tempdir(),
  plot = NULL,
  ...
)

Arguments

x: A MultiAssayExperiment object.
experiment: Optional experiment name.
assay: Assay name or one-based assay index.
max_k: Maximum number of clusters.
repetitions: Number of resampling repetitions.
item_fraction, feature_fraction: Sampling fractions.
algorithm: Clustering algorithm.
distance: Distance metric.
seed: Random seed.
title: Output title or directory used by the backend.
plot: Plot format accepted by ConsensusClusterPlus, or NULL.
...: Additional arguments passed to ConsensusClusterPlus::ConsensusClusterPlus().

Value

The native ConsensusClusterPlus result list.