Dear Bioconductor members, I'd like to draw your attention to the new package that implements a benchmarking of several gene network inference algorithms from gene expression data.
The *netbenchmark* package is now available in the development branch: http://master.bioconductor.org/packages/3.1/bioc/html/netbenchmark.html In the last decade, several methods have tackled the challenge of reconstructing gene regulatory networks from gene expression data. Several papers have compared and evaluated the different network inference methods relying on simulated data. This is a new comparison that assesses different methods in a high-heterogeneity data scenario which could reveal the specialization of methods for the different network types and data. Your comments and suggestions are welcome and will assist in continuously improving the package. Kind regards, Pau Bellot ----- OOO Pau Bellot, PhD Candidate <https://imatge.upc.edu/web/people/pau-bellot> OOO Image Processing Group <https://imatge.upc.edu/> OOO Universitat Politècnica de Catalunya <http://www.upc.edu/> [[alternative HTML version deleted]] _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel