FindClusterDistanceQuantiles: FindClusterDistanceQuantiles

Description Usage Arguments Examples

View source: R/cluster_functions.R

Description

Finds The distances between the center of each cluster and the centers of all the other clusters.

Usage

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FindClusterDistanceQuantiles(
  cluster.dataset,
  metric = "euclidean",
  nthreads = NULL
)

Arguments

cluster.dataset

A transcriptomics dataset where the final column details the cluster the gene belongs to. First column should be gene names. All remaining columns should be expression levels.

metric

The distance metric to be used to calculate the distances between genes. See parallelDist::parDist for all accepted arguments. Also allows the option of 'abs.correlation'.

nthreads

Number of processor threads for the process. If not specifed then the maximum number of logical cores are used.

Examples

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pam.df <- PamClustering(Laurasmappings, k = 10, nthreads = 2)
FindClusterDistanceQuantiles(pam.df, nthreads = 2)

nathansam/CircadianTools documentation built on Dec. 26, 2019, 11:30 a.m.