Correction: An Exhaustive, Non-Euclidean, Non-Parametric Data Mining Tool for Unraveling the Complexity of Biological Systems – Novel Insights into Malaria.

Autor: 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

Publikováno v: PLoS ONE, Vol 6, Iss 10 (2011)

Externí odkaz: https://doaj.org/article/74ec1730b6db4002a82ddace8ee1bd40

An Exhaustive, Non-Euclidean, Non-Parametric Data Mining Tool for Unraveling the Complexity of Biological Systems – Novel Insights into Malaria

Autor: Alioune Badara Ly, Richard Paul, Aliou Diop, Jean-François Trape, Jean-François Bureau, Gaoussou Diakhaby, Anavaj Sakuntabhai, Cheikh Loucoubar, Fatoumata Diene Sarr, Avner Bar-Hen, Cheikh Sokhna, Adama Tall, Abdoulaye Badiane, Augustin Huret, Joseph Faye

Publikováno v: PLoS ONE
PLoS ONE, 2011, 6 (9), pp.e24085. ⟨10.1371/journal.pone.0024085⟩
PLoS ONE, Public Library of Science, 2011, 6 (9), pp.e24085. ⟨10.1371/journal.pone.0024085⟩
PLoS ONE, Vol 6, Iss 9, p e24085 (2011)

International audience; 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 effor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f96c9d0c1559648463f28fe78ce3d1d5
https://hal-pasteur.archives-ouvertes.fr/pasteur-02076664