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Redundancy-weighting for better inference of protein structural features.
Yanover, Chen; Vanetik, Natalia; Levitt, Michael; Kolodny, Rachel; Keasar, Chen.
Afiliação
  • Yanover C; Machine Learning for Healthcare and Life-Sciences, Analytics Department, IBM Research Laboratory, Haifa, 3490002, Department of Software Engineering, Shamoon College of Engineering, Beer-Sheva 84100, Israel, Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305
  • Vanetik N; Machine Learning for Healthcare and Life-Sciences, Analytics Department, IBM Research Laboratory, Haifa, 3490002, Department of Software Engineering, Shamoon College of Engineering, Beer-Sheva 84100, Israel, Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305
  • Levitt M; Machine Learning for Healthcare and Life-Sciences, Analytics Department, IBM Research Laboratory, Haifa, 3490002, Department of Software Engineering, Shamoon College of Engineering, Beer-Sheva 84100, Israel, Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305
  • Kolodny R; Machine Learning for Healthcare and Life-Sciences, Analytics Department, IBM Research Laboratory, Haifa, 3490002, Department of Software Engineering, Shamoon College of Engineering, Beer-Sheva 84100, Israel, Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305
  • Keasar C; Machine Learning for Healthcare and Life-Sciences, Analytics Department, IBM Research Laboratory, Haifa, 3490002, Department of Software Engineering, Shamoon College of Engineering, Beer-Sheva 84100, Israel, Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305
Bioinformatics ; 30(16): 2295-301, 2014 Aug 15.
Article em En | MEDLINE | ID: mdl-24771517

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conformação Proteica Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conformação Proteica Idioma: En Ano de publicação: 2014 Tipo de documento: Article