An autoencoder learning method for predicting breast cancer subtypes

• Zahra Rostami,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Computer Science and Engineering, University of California San Diego, San Diego, California, United States of America

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• Kavitha Mukund,

  Roles Conceptualization, Methodology, Supervision, Writing – review & editing

  Affiliation Department of Bioengineering, University of California San Diego, San Diego, California, United States of America

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• Maryam Masnadi-Shirazi,

  Roles Conceptualization, Methodology, Software

  Affiliation Amazon, Seattle, Washington, United States of America

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• Shankar Subramaniam

  Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing

  * E-mail: shsubramaniam@ucsd.edu

  Affiliations Department of Computer Science and Engineering, University of California San Diego, San Diego, California, United States of America, Department of Bioengineering, University of California San Diego, San Diego, California, United States of America, Department of Cellular and Molecular Medicine, University of California San Diego, San Diego, California, United States of America

  https://orcid.org/0000-0002-8059-4659

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