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GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods
2011
Computer applications in the biosciences : CABIOS
Motivation: Over the last decade, numerous methods have been developed for inference of regulatory networks from gene expression data. However, accurate and systematic evaluation of these methods is hampered by the difficulty of constructing adequate benchmarks and the lack of tools for a differentiated analysis of network predictions on such benchmarks. Results: Here, we describe a novel and comprehensive method for in silico benchmark generation and performance profiling of network inference
doi:10.1093/bioinformatics/btr373
pmid:21697125
fatcat:ee6sjhtukzcg5dkaom36wr5sqy