title: Prediction of mutations in H3N2 hemagglutinins of influenza A virus from North America based on different datasets.
abstract: With rapid increase in influenza A virus database, an important issue is whether the predictions are similar based on different datasets. Here we stratify 482 H3N2 hemagglutinins from influenza A virus in North America to different datasets. The predictions are made using logistic regression. The results show that the different datasets have significant impact on the predictions.
authors.affiliation: DreamSciTech Consulting, Shenzhen, Guangdong Province CN-518054, China. hongguanglishibahao@yahoo.com
authors.forename: Guang
authors.initials: G
authors.lastname: Wu
authors.forename: Shaomin
authors.initials: S
authors.lastname: Yan
mesh_terms: D030562:Databases, Protein; D019267:Hemagglutinin Glycoproteins, Influenza Virus / Q000235:genetics* / Q000378:metabolism; D006801:Humans; D053122:Influenza A Virus, H3N2 Subtype / Q000235:genetics / Q000378:metabolism; D008433:Mathematics; D008962:Models, Theoretical; D009154:Mutation; D009656:North America; D012044:Regression Analysis; D015203:Reproducibility of Results
chemical_list: D019267:Hemagglutinin Glycoproteins, Influenza Virus