Create_prior_cutTree: Create priors from hierarchical clustering

In DeveauP/QuantumClone: Clustering Mutations using High Throughput Sequencing (HTS) Data

Description

Creates weights and position priors from the hierachical clustering (tree) given a number of clusters Nclust. The centers of each cluster is found by Center = \frac{∑\limits_{m \in cluster}{Normalized Alt_{m}}}{∑\limits_{m \in cluster}{Normalized Alt_{m}}}

Usage

Create_prior_cutTree(tree, Schrod_cells, NClus, jitter = FALSE)

Arguments

tree	The tree generated by Cellular_preclustering
Schrod_cells	The classic output from Schrodinger function
NClus	the number of clusters to cut the data
jitter	Should it jitter weights and centers around values found?

Value

returns a list with:

weigths

The proportion of mutations in each cluster

centers

A list with a numeric vector for each sample, with the cellularity of each cluster

@importFrom stats cutree

DeveauP/QuantumClone documentation built on Oct. 29, 2021, 8:56 a.m.