Prediction of Mutations in H3N2 Hemagglutinins of Influenza A Virus from North America Based on Different Datasets

Title: Prediction of Mutations in H3N2 Hemagglutinins of Influenza A Virus from North America Based on Different Datasets

Volume: 15 Issue: 2

Author(s): Guang Wu and Shaomin Yan

Affiliation:

Keywords: Hemagglutinin, influenza, logistic regression, mutation, prediction

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.

Cite this article as:

Wu Guang and Yan Shaomin, Prediction of Mutations in H3N2 Hemagglutinins of Influenza A Virus from North America Based on Different Datasets, Protein & Peptide Letters 2008; 15 (2) . https://dx.doi.org/10.2174/092986608783489571

DOI https://dx.doi.org/10.2174/092986608783489571	Print ISSN 0929-8665
Publisher Name Bentham Science Publisher	Online ISSN 1875-5305