writeHeinzNodes {BioNet} | R Documentation

## Write node input file for HEINZ

### Description

Function to write an input file with the node scores for HEINZ. This file is used together with the edge input file to calculate the maximum scoring subnetwork of the graph. The scores are matched by their names to the nodes of the network, therefore if nodes.scores are provided as a vector or matrix, the vector has to be named, respectively the matrix has to be provided with rownames. If the network contains more nodes than the score vector, the nodes without a score are scored with the average over all nodes. If the nodes should not be scored and used for the calculation of the maximum scoring subnetwork, draw a subnetwork `subNetwork` first and use this for the argument network.

### Usage

    writeHeinzNodes(network, file, node.scores=0, use.score=FALSE)

### Arguments

`network` | Network from which to calculate the maximum scoring subnetwork.
`file` | File to write to.
`node.scores` | Numeric vector or matrix of scores for the nodes of the network. Names of the vector or rownames of the matrix have to correspond to the PPI identifiers of the network. The scores can also be used from the node attribute "score", given one score for each node.
`use.score` | Boolean value, whether to use the node attribute "score" in the network as node scores.

### Details

Use `scoreNodes` or `scoreFunction`to derive scores from a vector of p-values.

### Author(s)

Daniela Beisser

### See Also

`writeHeinzEdges` and `writeHeinz`

### Examples

    #create small network
    library(DLBCL)
    data(interactome)
    small.net <- subNetwork(nodes(interactome)[0:15], interactome)
    scores <- c(1:length(nodes(small.net)))
    names(scores) <- nodes(small.net)
    ## Not run: writeHeinzNodes(network=small.net, file="test_nodes", node.scores=scores)

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

[Package BioNet version 1.40.0 Index]