An exhaustive, non-euclidean, non-parametric data mining tool for unraveling the complexity of biological systems--novel insights into malaria.

An exhaustive, non-euclidean, non-parametric data mining tool for unraveling the complexity of biological systems--novel insights into malaria.

Complex, high-dimensional data sets pose significant analytical challenges in the post-genomic era. Such data sets are not exclusive to genetic analyses and are also pertinent to epidemiology. There has been considerable effort to develop hypothesis-free data mining and machine learning methodologie...

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Bibliographic Details
Main Authors: Cheikh Loucoubar, Richard Paul, Avner Bar-Hen, Augustin Huret, Adama Tall, Cheikh Sokhna, Jean-François Trape, Alioune Badara Ly, Joseph Faye, Abdoulaye Badiane, Gaoussou Diakhaby, Fatoumata Diène Sarr, Aliou Diop, Anavaj Sakuntabhai, Jean-François Bureau
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3170284?pdf=render

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http://europepmc.org/articles/PMC3170284?pdf=render

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