GeneNetWeaver: In silico benchmark generation and performance profiling of network inference methods
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.
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Schaffter, T., Marbach, D., & Floreano, D. (2011). GeneNetWeaver: In silico benchmark generation and performance profiling of network inference methods. Bioinformatics, 27(16), 2263–2270. https://doi.org/10.1093/bioinformatics/btr373
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WOS:000293620800013
2011
27
16
2263
2270
wingx
REVIEWED
EPFL