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

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]

@inproceedings{Garza-FabreKHKL15,
  title = {Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta},
  author = {Mario Garza-Fabre and Shaun M. Kandathil and Julia Handl and Joshua D. Knowles and Simon C. Lovell},
  year = {2015},
  doi = {10.1145/2739482.2768441},
  url = {http://doi.acm.org/10.1145/2739482.2768441},
  researchr = {https://researchr.org/publication/Garza-FabreKHKL15},
  cites = {0},
  citedby = {0},
  pages = {935-938},
  booktitle = {Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, July 11-15, 2015, Companion Material Proceedings},
  editor = {Juan Luis Jiménez Laredo and Sara Silva and Anna Isabel Esparcia-Alcázar},
  publisher = {ACM},
  isbn = {978-1-4503-3488-4},
}