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Open Access

Correction

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

  • 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
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The authors have the following competing interests to declare: "Author Augustin Huret, writer of the algorithm, sells use of this algorithm through the company Effiscience. This does not alter our adherence to all the PLoS ONE policies on sharing data and materials, as detailed online in the guide for authors."

Citation: Loucoubar C, Paul R, Bar-Hen A, Huret A, Tall A, Sokhna C, et al. (2011) Correction: An Exhaustive, Non-Euclidean, Non-Parametric Data Mining Tool for Unraveling the Complexity of Biological Systems – Novel Insights into Malaria. PLoS ONE 6(10): 10.1371/annotation/654e34ce-f1cd-4207-b2ac-ebc873b821e9. https://doi.org/10.1371/annotation/654e34ce-f1cd-4207-b2ac-ebc873b821e9

Published: October 31, 2011

Copyright: © 2011 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Competing interests: No competing interests declared.