Evolution and Vaccination of Influenza Virus
- PMID: 28686463
- PMCID: PMC5563926
- DOI: 10.1089/cmb.2017.0025
Evolution and Vaccination of Influenza Virus
Abstract
In this study, we present an application paradigm in which an unsupervised machine learning approach is applied to the high-dimensional influenza genetic sequences to investigate whether vaccine is a driving force to the evolution of influenza virus. We first used a visualization approach to visualize the evolutionary paths of vaccine-controlled and non-vaccine-controlled influenza viruses in a low-dimensional space. We then quantified the evolutionary differences between their evolutionary trajectories through the use of within- and between-scatter matrices computation to provide the statistical confidence to support the visualization results. We used the influenza surface Hemagglutinin (HA) gene for this study as the HA gene is the major target of the immune system. The visualization is achieved without using any clustering methods or prior information about the influenza sequences. Our results clearly showed that the evolutionary trajectories between vaccine-controlled and non-vaccine-controlled influenza viruses are different and vaccine as an evolution driving force cannot be completely eliminated.
Keywords: influenza; machine learning; visualization..
Conflict of interest statement
No competing financial interests exist.
Figures
References
-
- Alpaydin E. 2010. Introduction to Machine Learning, 2nd ed. MIT Press, Cambridge, MA
-
- Caron A., Gaidet N., de Garine-Wichatitsky M., et al. 2009. Evolutionary biology, community ecology and avian influenza research. Infect. Genet. Evol. 9, 298–303 - PubMed
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
