A novel one-class classification approach to accurately predict disease-gene association in acute myeloid leukemia cancer

• Akram Vasighizaker,

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

  Affiliation Electrical & Computer Engineering Department, Tarbiat Modares University, Tehran, Iran

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• Alok Sharma,

  Roles Formal analysis, Writing – review & editing

  Affiliations Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Queensland, Australia, Department of Medical Science Mathematics, Medical Research Institute, Tokyo Medical and Dental University (TMDU), Tokyo, Japan, Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan, School of Engineering and Physics, Faculty of Science Technology and Environment, University of the South Pacific, Suva, Fiji, CREST, JST, Tokyo, Japan

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• Abdollah Dehzangi

  Roles Project administration, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: abdollah.dehzangi@morgan.edu

  Affiliation Department of Computer Science, Morgan State University, Baltimore, Maryland, United States of America

  http://orcid.org/0000-0001-8577-0271

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