Create_prior_cutTree: Create priors from hierarchical clustering

Description Usage Arguments Value

View source: R/FlashQC.R

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

1
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


QuantumClone documentation built on May 2, 2019, 3:03 a.m.