Machine learning and combinatorial optimization to detect gene-gene interactions in genome-wide real data: looking through the prism of four methods and two protocols - Archive ouverte HAL Access content directly
Book Sections Year : 2020

Machine learning and combinatorial optimization to detect gene-gene interactions in genome-wide real data: looking through the prism of four methods and two protocols

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hal-02455132 , version 1 (25-01-2020)

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  • HAL Id : hal-02455132 , version 1

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Hugo Boisaubert, Christine Sinoquet. Machine learning and combinatorial optimization to detect gene-gene interactions in genome-wide real data: looking through the prism of four methods and two protocols. Biomedical Engineering Systems and Technologies, 12th International Joint Conference, BIOSTEC2019, Czech Republic, Prague, 22-24 february, Extended Selected Papers, Communication in Computer and Information Science, A. Fred and H. Gamboa (eds.), Springer, 29 pages, inPress. ⟨hal-02455132⟩
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