consensus_clustering: Clustering of TIPC metrics

In MPE-Lab/TIPC: Tumor-Immune Partitioning and Clustering (test)

Description

Clustering of TIPC metrics using ConsensusClusterPlus

Usage

consensus_clustering(
  min_k = 2,
  max_k = 6,
  distance = "pearson",
  root_dir = NULL,
  output_bnm = "test",
  seed = 999
)

Arguments

min_k	An integer indicating the minimum number of clusters.
max_k	An integer indicating the maximum number of clusters.
distance	A character value indicating the distance method used in ConsensusClusterPlus
root_dir	A directory path containing the TIPC_metrics, i.e. normalized TIPC metrics of all 5 directions output from normalize_metrics; nrow = total. of tumors, ncol = 6 (TIPC metrics) x 5 (directions).
output_bnm	A character string appended to output folder name; sub-folders are created for different k from min_k to max_k.
seed	An integer seed for randomizing case ordering and for ConsensusClusterPlus.

MPE-Lab/TIPC documentation built on Sept. 17, 2021, 6:33 p.m.