Description Usage Arguments Examples
View source: R/nmf.gene.expression.R
This function allows you to find the likely genes responsible for affecting a variable, typically the presence or absence of a disease
1 2 3 | 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)
|
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 |
1 |
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