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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170284/
https://www.ncbi.nlm.nih.gov/pubmed/21931645
http://dx.doi.org/10.1371/journal.pone.0024085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170284/
https://www.ncbi.nlm.nih.gov/pubmed/21931645
http://dx.doi.org/10.1371/journal.pone.0024085

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