Article
An exhaustive, non-euclidean, non-parametric data mining tool for unraveling the complexity of biological systems--novel insights into malaria.
PloS one - 1 Jan 2011
Loucoubar Cheikh, Paul Richard, Bar-Hen Avner, Huret Augustin, Tall Adama, Sokhna Cheikh, Trape Jean-François, Ly Alioune Badara, Faye Joseph, Badiane Abdoulaye, Diakhaby Gaoussou, Sarr Fatoumata Diène, Diop Aliou, Sakuntabhai Anavaj, Bureau Jean-François
Abstract excerpt
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 methodologies. However, current methodologies lack exhaustivity and general applicability. Here we use a novel non-parametric,...
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