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Research Article

Functional Impact of Missense Variants in BRCA1 Predicted by Supervised Learning

  • Rachel Karchin mail,

    To whom correspondence should be addressed. E-mail: karchin@karchinlab.org (RK); sali@salilab.org (AS)

    Affiliations: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America, Institute of Computational Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America

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  • Alvaro N. A Monteiro,

    Affiliation: Risk Assessment, Detection, and Intervention Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America

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  • Sean V Tavtigian,

    Affiliation: International Agency for Research on Cancer, Lyon, France

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  • Marcelo A Carvalho,

    Affiliation: Risk Assessment, Detection, and Intervention Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America

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  • Andrej Sali mail

    To whom correspondence should be addressed. E-mail: karchin@karchinlab.org (RK); sali@salilab.org (AS)

    Affiliations: Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, United States of America, California Institute for Quantitative Biomedical Research, University of California San Francisco, San Francisco, California, United States of America

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  • Published: February 16, 2007
  • DOI: 10.1371/journal.pcbi.0030026

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