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The Scientific World Journal
Volume 2015, Article ID 148010, 11 pages
http://dx.doi.org/10.1155/2015/148010
Review Article

State of the Art of Fuzzy Methods for Gene Regulatory Networks Inference

1Information Technology Department, Computer College, Qassim University, Buraydah 51452, Saudi Arabia
2Computer Science Department, Computer College, Qassim University, Buraydah 51452, Saudi Arabia

Received 27 July 2014; Accepted 3 December 2014

Academic Editor: Albert Victoire

Copyright © 2015 Tuqyah Abdullah Al Qazlan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Giovanni Acampora, and Autilia Vitiello, “Learning of Fuzzy Cognitive Maps for modelling Gene Regulatory Networks through Big Bang-Big Crunch algorithm,” 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–6, . View at Publisher · View at Google Scholar
  • K. Parmar, K. B. Blyuss, Y. N. Kyrychko, and S. J. Hogan, “Time-Delayed Models of Gene Regulatory Networks,” Computational and Mathematical Methods in Medicine, vol. 2015, pp. 1–16, 2015. View at Publisher · View at Google Scholar
  • Bożena Małysiak-Mrozek, “Uncertainty, Imprecision, and Many-Valued Logics in Protein Bioinformatics,” Mathematical Biosciences, 2018. View at Publisher · View at Google Scholar