writeHeinzEdges {BioNet} | R Documentation

## Write edge input file for HEINZ

### Description

Function to write an input file for HEINZ with edge scores. If no edge scores are used, they are set to 0. In order to run HEINZ, a node input and edge input file are needed.

### Usage

    writeHeinzEdges(network, file, edge.scores=0, use.score=FALSE)

### Arguments

`network` | Network from which to calculate the maximum scoring subnetwork.
`file` | File to write to.
`edge.scores` | Numeric vector of scores for the edges of the network. Edge scores have to be given in the order of the edges in the network. It is better to append the edge scores as the edge attribute "score" to the network: V(network)\$score and set use.score to TRUE.
`use.score` | Boolean value, whether to use the edge attribute "score" in the network as edge scores.

### Author(s)

Daniela Beisser

### See Also

`writeHeinzNodes` and `writeHeinz`

### Examples

    library(DLBCL)
    # use Lymphoma data and graph to find module
    data(interactome)
    data(dataLym)
    # get induced subnetwork for all genes contained on the chip
    chipGraph <- subNetwork(dataLym$label, interactome)
    # remove self loops
    graph <- rmSelfLoops(chipGraph)
    ## Not run: writeHeinzEdges(network=graph, file="lymphoma_edges_001", use.score=FALSE)
    score <- dataLym$score001
    names(score) <- dataLym$label
    ## Not run: writeHeinzNodes(network=graph, file="lymphoma_nodes_001", node.scores=score)

    # write another edge file with edge scores
    library(igraph)
    data(interactome)
    interactome <- igraph.from.graphNEL(interactome)
    small.net <- subNetwork(V(interactome)[1:16]$name, interactome)
    scores <- c(1:length(E(small.net)))
    E(small.net)$score <- scores
    ## Not run: writeHeinzEdges(network=small.net, file="test_edges", use.score=TRUE)

[Package BioNet version 1.52.0 Index]