nmf.gene.expression: A Function to find responsible genes for variation within a...

In ASharmaML/nmf-gene:

Description

This function allows you to find the likely genes responsible for affecting a variable, typically the presence or absence of a disease

Usage

nmf.gene.expression(n.clusters = 20, gene_expressions, zero.threshold = 0.1,
  log.scaled, loss.type = "mse", b, na = FALSE, sample = FALSE,
  number.genes, a, v = F, use.base.nmf = F)

Arguments

number.genes	The number of likely genes to find
H.matrix	The H.matrix of an NMF factorisation of a gene expression dataset
W.matrix	The W.matrix of an NMF factorisation of a gene expression dataset
variable	The discrete variable or disease to be investigated
gene.names	A character/string vector containing the list of gene names
gene.expressions	The initial gene expression matrix, with genes labelled by row names

Examples

nmf.responsible.genes()

ASharmaML/nmf-gene documentation built on May 14, 2019, 8:57 a.m.