Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data

• Travers Ching,

  Roles Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliations Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI, United States of America, Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States of America

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• Xun Zhu,

  Roles Methodology, Software

  Affiliations Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI, United States of America, Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States of America

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• Lana X. Garmire

  Roles Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Software, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: lgarmire@cc.hawaii.edu

  Affiliations Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI, United States of America, Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States of America

  http://orcid.org/0000-0002-4654-2126

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