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.
Keywords: Hemagglutinin, influenza, logistic regression, mutation, prediction
Protein & Peptide Letters
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.
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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 |
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