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Open Access

Peer-reviewed

Research Article

Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

  • Michael P. Menden,

    Affiliation European Bioinformatics Institute, Wellcome Trust Genome Campus–Cambridge, Cambridge, United Kingdom

    ⨯
  • Francesco Iorio,

    Affiliations European Bioinformatics Institute, Wellcome Trust Genome Campus–Cambridge, Cambridge, United Kingdom, Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus-­Cambridge, Cambridge, United Kingdom

    ⨯
  • Mathew Garnett,

    Affiliation Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus-­Cambridge, Cambridge, United Kingdom

    ⨯
  • Ultan McDermott,

    Affiliation Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus-­Cambridge, Cambridge, United Kingdom

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  • Cyril H. Benes,

    Affiliation Center for Molecular Therapeutics, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, Massachusetts, United States of America

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  • Pedro J. Ballester ,

    pedro.ballester@ebi.ac.uk (PJB); saezrodriguez@ebi.ac.uk (JS-R)

    Affiliation European Bioinformatics Institute, Wellcome Trust Genome Campus–Cambridge, Cambridge, United Kingdom

    ⨯
  • Julio Saez-Rodriguez

    pedro.ballester@ebi.ac.uk (PJB); saezrodriguez@ebi.ac.uk (JS-R)

    Affiliation European Bioinformatics Institute, Wellcome Trust Genome Campus–Cambridge, Cambridge, United Kingdom

    ⨯

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