Predicting influenza antigenicity from Hemagglutintin sequence data based on a joint random forest method

• Main Authors: Yao, Y, Li, X, Liao, B, Huang, L, He, P, Wang, F, Yang, J, Sun, H, Zhao, Y
• Other Authors: CENTRE FOR MARITIME STUDIES
• Format: Article
• Published: Nature Publishing Group 2020
• Subjects: Influenza virus hemagglutinin; virus antigen; algorithm; amino acid sequence; amino acid substitution; chemistry; genetics; human; immunology; Influenza A virus (H3N2); molecular evolution; mutation; Algorithms; Amino Acid Sequence; Amino Acid Substitution; Antigens, Viral; Evolution, Molecular; Hemagglutinin Glycoproteins, Influenza Virus; Humans; Influenza A Virus, H3N2 Subtype; Mutation
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/178615
• Institution: National University of Singapore

10.1038/s41598-017-01699-z