Exploring the Lethality of Human-Adapted Coronavirus Through Alignment-Free Machine Learning Approaches Using Genomic Sequences.

Journal: Current genomics
Published Date: Dec 31, 2021

Abstract

BACKGROUND: A newly emerging novel coronavirus appeared and rapidly spread worldwide and World Health Organization declared a pandemic on March 11, 2020. The roles and characteristics of coronavirus have captured much attention due to its power of causing a wide variety of infectious diseases, from mild to severe, on humans. The detection of the lethality of human coronavirus is key to estimate the viral toxicity and provide perspectives for treatment.

Authors

  • Rui Yin
    Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, College of Medicine, FL, USA. Electronic address: ruiyin@ufl.edu.
  • Zihan Luo
    School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China.
  • Chee Keong Kwoh
    School of Computer Science and Engineering,  Nanyang  Technological  University,  50  Nanyang  Avenue,  639798, Singapore.

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