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A new distance distribution paradigm to detect the variability of the influenza-A virus in high dimensional spaces

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2 Author(s)
Mosaab Daoud ; Department of Computing and Information Science, University of Guelph, Guelph, Ontario, Canada ; Stefan C. Kremer

The influenza-A virus is a rapidly mutating virus. Detecting the variability of the influenza-A virus is a key point in understanding the changeability in the genetic information of this virus and can help in designing or rebuilding the annual vaccine. In this paper, we propose a novel distance distribution paradigm to detect influenza-virus variability in high dimensional spaces. We conduct an experiment and the results show the robustness of the proposed paradigm in detecting this variability.

Published in:

Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009. IEEE International Conference on

Date of Conference:

1-4 Nov. 2009