<p>CASTOR: a machine learning approach for generic viral genome classification</p>

Mohamed Amine Remita; Ahmed Halioui; Abou Abdallah Malick Diouara; Bruno Daigle; Golrokh Kiani; Abdoulaye Baniré Diallo

doi:10.7490/f1000research.1113282.1

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Remita MA, Halioui A, Diouara AAM et al. CASTOR: a machine learning approach for generic viral genome classification [version 1; not peer reviewed]. F1000Research 2016, 5:2504 (poster) (https://doi.org/10.7490/f1000research.1113282.1)

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CASTOR: a machine learning approach for generic viral genome classification

Mohamed Amine Remita, Ahmed Halioui, Abou Abdallah Malick Diouara, Bruno Daigle, Golrokh Kiani, Abdoulaye Baniré Diallo¹

Published 11 Oct 2016 (https://doi.org/10.7490/f1000research.1113282.1)

Author Affiliations

¹ Université du Québec à Montréal, Canada

Copyright © 2016 Remita MA et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 11 Oct 2016

CASTOR: a machine learning approach for generic viral genome classification
[version 1; not peer reviewed]

Mohamed Amine Remita, Ahmed Halioui, Abou Abdallah Malick Diouara, Bruno Daigle, Golrokh Kiani, Abdoulaye Baniré Diallo¹

Author Affiliations

¹ Université du Québec à Montréal, Canada

Presented at

14th RECOMB Comparative Genomics Satellite Workshop 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

sequence classification, prediction, virus classification

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