bootNMF: CNomplexity::bootNMF

In SteeleCD/CNomplexity: Analysis of Complex Copy Cumber and Structural Variants in Cancer Genomes.

Description

Bootstrap input data, and run non-negative matrix factorisation on the bootstrapped data to identify latent signatures in the original data. Should be run multiple times e.g. in a replicate function.

Usage

bootNMF(data,rank) 

Arguments

data	Matrix of n*m, where n is the number of samples, and m is the number features.
rank	Integer vector. Vector of the number of signatures to identify.

Details

Method for bootstrapping and running non-negative matrix factorisation on a dataset, as described in Alexandrov et al. (2013).

Value

List wih two elements. nmf = nmf results for each rank. sil = silhouette results for each rank.

SteeleCD/CNomplexity documentation built on May 29, 2019, 2:09 p.m.