Predicting antigenic variants of H1N1 influenza virus based on epidemics and pandemics using a stacking model

Predicting antigenic variants of H1N1 influenza virus based on epidemics and pandemics using a stacking model

H1N1 is the earliest emerging subtype of influenza A viruses with available genomic sequences, has caused several pandemics and seasonal epidemics, resulting in millions of deaths and enormous economic losses. Timely determination of new antigenic variants is crucial for the vaccine selection and fl...

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Bibliographic Details
Main Authors: Yin, Rui, Tran, Viet Hung, Zhou, Xinrui, Zheng, Jie, Kwoh, Chee Keong
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Influenza H1N1
Antigenic Variant
Pandemics
Epidemics
Stacking Model
Online Access:https://hdl.handle.net/10356/155627

Internet

https://hdl.handle.net/10356/155627

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