predictions: Performing Gene Function Prediction

In EGAD: Extending guilt by association by degree

Description

The function performs gene function prediction on the whole data set using the 'guilt by association'-principle ([1]).

Usage

predictions(genes.labels, network)

Arguments

genes.labels	numeric array
network	numeric array symmetric, gene-by-gene matrix

Value

scores numeric matrix

Examples

genes.labels <- matrix( sample( c(0,1), 1000, replace=TRUE), nrow=100)
rownames(genes.labels) = paste('gene', 1:100, sep='')
colnames(genes.labels) = paste('function', 1:10, sep='')
net <- cor( matrix( rnorm(10000), ncol=100), method='spearman')
rownames(net) <- paste('gene', 1:100, sep='')
colnames(net) <- paste('gene', 1:100, sep='')

preds <- predictions(genes.labels, net) 

EGAD documentation built on Nov. 8, 2020, 8:31 p.m.