A Machine Learning Method for Differentiating and Predicting Human‐Infective Coronavirus Based on Physicochemical Features and Composition of the Spike Protein
Author:
Affiliation:
1. Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of ChinaChengdu610054China
2. Hainan Key Laboratory for Computational Science and ApplicationHainan Normal UniversityHaikou571158China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2021.06.003
Reference70 articles.
1. Origin and evolution of pathogenic coronaviruses
2. Coinfection with COVID‐19 and coronavirus HKU1—The critical need for repeat testing if clinically indicated
3. H.Zhu Q.Guo M.Li et al. “Host and infectivity prediction of Wuhan 2019 novel coronavirus using deep learning algorithm” BioRxiv https://doi.org/10.1101/2020.01.21.914044 2020.
4. Scoring amino acid mutation to predict pandemic risk of avian influenza virus;Qiang X. L.;BMC Bioinformatics,2019
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