predictions {EGAD} | R Documentation |
The function performs gene function prediction on the whole data set using the 'guilt by association'-principle ([1]).
predictions(genes.labels, network)
genes.labels |
numeric array |
network |
numeric array symmetric, gene-by-gene matrix |
scores numeric matrix
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)