hard.clustering

EM_out

<p>Attributes a mutation to its most likely clone based on the output of the EM algorithm</p>

clustering

Hard

Using HTS data, clusters mutations in order to recreate putative
clones from the data provided. It requires genotype at the location of the
variant as well as the depth of coverage and number of reads supporting the
mutation. Additional information may be provided, such as the contamination
in the tumor sample. This package also provides a function QuantumCat() which
simulates data obtained from tumor sequencing.

Paul Deveau

QuantumClone

Clustering Mutations using High Throughput Sequencing (HTS) Data

hard.clustering function

Hard clustering based on EM output — hard.clustering

Hard clustering based on EM output

hard.clustering: Hard clustering based on EM output

Description

Usage

Arguments