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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Detalhes bibliográficos
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2011
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3170284/
https://ncbi.nlm.nih.gov/pubmed/21931645
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0024085
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