hardClust: Hard clustering using k-means

Description Usage Arguments Value Author(s)

View source: R/hardClust.R

Description

This function expects output from custom minimap test dataset that contains original locations of mapped reads in the genome.

Usage

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hardClust(counts.l = NULL, num.clusters = NULL, nstart = 10,
  iter.max = 10)

Arguments

counts.l

A list of directional read counts per PB read per library.

num.clusters

Expected number of clusters. (for 22 autosomes == 44 clusters)

Value

A list of estimated theta values for every cluster and cell.

Author(s)

David Porubsky


daewoooo/SaaRclust documentation built on May 28, 2019, 7:50 p.m.