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

Author

Daoud, Mosaab ; Kremer, Stefan C.

Author_Institution

Dept. of Comput. & Inf. Sci., Univ. of Guelph, Guelph, ON, Canada

fYear

2009

fDate

1-4 Nov. 2009

Firstpage

32

Lastpage

37

Abstract

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.

Keywords

diseases; genetics; medical computing; microorganisms; distance distribution paradigm; genetic information; high dimensional spaces; influenza-A virus; Bioinformatics; Distributed computing; Extraterrestrial measurements; Genetics; Genomics; Humans; Influenza; Information science; Proteins; Vaccines; Distance Distribution; Distribution of Distances; High Dimensional Space; Influenza-A virus Variability; Metric Space;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Washington, DC

Print_ISBN

978-1-4244-5121-0

Type

conf

DOI

10.1109/BIBMW.2009.5332133

Filename

5332133