HopPER : an adaptive model for probability estimation of influenza reassortment through host prediction

• Main Authors: Yin, Rui, Zhou, Xinrui, Rashid, Shamima, Kwoh, Chee Keong
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Influenza; Reassortment Estimation
• Online Access: https://hdl.handle.net/10356/146980
• Institution: Nanyang Technological University

Background: Influenza reassortment, a mechanism where influenza viruses exchange their RNA segments by co-infecting a single cell, has been implicated in several major pandemics since 19th century. Owing to the significant impact on public health and social stability, great attention has been receiv...