Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study

• Gurjit S. Randhawa ,

  Contributed equally to this work with: Gurjit S. Randhawa, Maximillian P. M. Soltysiak

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

  * E-mail: grandha8@uwo.ca

  Affiliation Department of Computer Science, The University of Western Ontario, London, ON, Canada

  http://orcid.org/0000-0003-1054-125X

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• Maximillian P. M. Soltysiak ,

  Contributed equally to this work with: Gurjit S. Randhawa, Maximillian P. M. Soltysiak

  Roles Formal analysis, Investigation, Writing – original draft, Writing – review & editing

  Affiliation Department of Biology, The University of Western Ontario, London, ON, Canada

  http://orcid.org/0000-0001-7495-5203

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• Hadi El Roz,

  Roles Formal analysis, Writing – review & editing

  Affiliation Department of Biology, The University of Western Ontario, London, ON, Canada

  http://orcid.org/0000-0002-4020-701X

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• Camila P. E. de Souza,

  Roles Formal analysis, Writing – review & editing

  Affiliation Department of Statistical and Actuarial Sciences, The University of Western Ontario, London, ON, Canada

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• Kathleen A. Hill,

  Roles Formal analysis, Funding acquisition, Investigation, Project administration, Supervision, Writing – review & editing

  Affiliation Department of Biology, The University of Western Ontario, London, ON, Canada

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• Lila Kari

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

  Affiliation School of Computer Science, University of Waterloo, Waterloo, ON, Canada

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