oneDimensionalClustering: Identify clusters and assign mutations for 1-dimensional...

In Wedge-Oxford/dpclust: DPClust - An R package for subclonal reconstruction of tumours using sequencing data

Identify clusters and assign mutations for 1-dimensional clustering

Description

Identify clusters and assign mutations for 1-dimensional clustering

Usage

oneDimensionalClustering(samplename, subclonal.fraction, GS.data, density,
  no.iters, no.iters.burn.in)

Arguments

samplename	Sample identifier, used for writing out data to disk
subclonal.fraction	Cancer cell fraction estimates for each mutation
GS.data	Output from the MCMC chain
density	Posterior density estimate of where clusters are located
no.iters	Number of total iterations the MCMC chain was run for
no.iters.burn.in	Number of iterations to discard as burn in

Value

Standardised mutation clustering output, including clusters, mutation assignments and likelihoods

Author(s)

dw9, sd11

Wedge-Oxford/dpclust documentation built on July 6, 2024, 2:02 p.m.