predictions {EGAD} | R Documentation

## Performing Gene Function Prediction

### 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)

[Package EGAD version 1.16.0 Index]