netbenchmark_1.1.0 - First version of the netbenchmark package For a given list of network inference algorithms, \code{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 4.0 Unported License. netbenchmark_1.1.1 - Fixing errors in documentation - Adding avaible datasources in documentation netbenchmark_1.1.2 - Adding routine to easily register wrapper functions netbenchmark_1.1.3 - Adding routine to easily unregister wrapper functions netbenchmark_1.1.4 - Adding function to run inference methods to user defined expression data and its corresponding true regulatory network with \code{netbenchmark.data} netbenchmark_1.1.5 - Better handling of ties between predictions in evaluation - It is possible to specify the ranges of local.noise and global.noise - Bug fix in noise.bench.R, using the whole datasource - Better summary table in netbenchmark.R - Adding verbose option to all the benchmarks netbenchmark_1.1.6 - New web netbenchmark_1.1.7 - Fixing errors in documentation - Adding avaible datasources in documentation - Fix GeneNet compatibility (1.2.13) - New web netbenchmark_1.1.9 - Updating citation