Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta - researchr publication authors

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Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell. Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. In Juan Luis Jiménez Laredo, Sara Silva, Anna Isabel Esparcia-Alcázar, editors, Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, July 11-15, 2015, Companion Material Proceedings. pages 935-938, ACM, 2015. [doi]

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