Publication: GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods
GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods
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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
Abstract
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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 methods available to the community as an o
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- Schaffter, Thomas
- Marbach, Daniel
- Floreano, Dario
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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
