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

• المؤلفون الرئيسيون: Yin, Rui, Tran, Viet Hung, Zhou, Xinrui, Zheng, Jie, Kwoh, Chee Keong
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Influenza H1N1; Antigenic Variant; Pandemics; Epidemics; Stacking Model
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/155627

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...