consensusScores {BioNet} | R Documentation

## Calculation of a consensus score for a network

### Description

The function calculates consensus scores for a network, given a list of replicate modules.

### Usage

    consensusScores(modules, network, ro=length(modules)/2)

### Arguments

`modules` | Calculated modules from pseudo-replicates of expression values in igraph or graphNEL format.
`network` | Interaction network, which shoupld be scores. In igraph or graphNEL format
`ro` | Threshold which is subtracted from the scores to obtain positive and negative value. The default value is half of the number of replicates.

### Value

A result list is returned, consisting of:

`N.scores` | Numerical vector node scores.
`E.scores` | Numerical vector edge scores.
`N.frequencies` | Numerical vector node frequencies from the replicate modules.
`E.frequencies` | Numerical vector edge frequencies from the replicate modules.

### Author(s)

Daniela Beisser

### Examples

    library(DLBCL)
    data(interactome)
    network <- interactome
    # precomputed Heinz modules from pseudo-replicates
    ## Not run: lib <- file.path(.path.package("BioNet"), "extdata")
    modules <- readHeinzGraph(node.file=file.path(datadir, "ALL_n_resample.txt.0.hnz"), network=network)
    cons.scores <- consensusScores(modules, network)

    ## End(Not run)

[Package BioNet version 1.44.0 Index]