netbenchmark-package: Benchmarking of several inference networks methods
In netbenchmark: Benchmarking of several gene network inference methods

Description Details Author(s) Examples

For a given list of network inference algorithms, netbenchmark performs a benchmark between them. It makes use of four different big gene datasources, it relies on a random subsampling of each one of the datasource and noise addition in order to generate the datasets. This package is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.

Package:	netbenchmark
Type:	Package
Version:	1.5.6
Date:	2014-02-17
License:	GPL-2

~~ An overview of how to use the package, including the most important functions ~~

Pau Bellot, Catharina Olsen, Patrick E Meyer

Maintainer: Pau Bellot <pau.bellot@upc.edu>

    ## Not run: 
        AUPR20.list<-netbenchmark(datasources.names=c("syntren300",
            "rogers1000"),datasets.num=7)
        AUPR20.300exp.list<-netbenchmark(methods=c("aracne.wrap","mrnet.wrap",
            "GeneNet.wrap"),datasources.names=c("syntren300","rogers1000"),
        experiments=300,global.noise=10,noiseType="lognormal")
        AUPR20.n30.list<-netbenchmark(methods=c("all.fast","mrnet.wrap",
            "Genie3.wrap"),eval="AUROC",local.noise=30)
    
## End(Not run)