Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning.

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作者： Bahrad A,Sokhansanj ^[1] ; Gail L,Rosen ^[2]

作者单位： Ecological and Evolutionary Signal Processing & Informatics Laboratory, Drexel University, 3100 Chestnut St., Philadelphia, PA, 19104, United States of America. Electronic address: bahrad@molhealtheng.com. ^[1] Ecological and Evolutionary Signal Processing & Informatics Laboratory, Drexel University, 3100 Chestnut St., Philadelphia, PA, 19104, United States of America. Electronic address: glr26@drexel.edu. ^[2]

关键词 Bioinformatics COVID-19 Machine learning SARS-CoV-2 Viral genomics

主题词人类(Humans);突变(Mutation);种系发生(Phylogeny);回顾性研究(Retrospective Studies);疾病严重程度指数(Severity of Illness Index)

DOI 10.1016/j.compbiomed.2022.105969

PMID 36041271

发布时间 2023-11-05

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