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Bayesian Classifiers with Consensus Gene Selection: A Case Study in the Systemic Lupus Erythematosus

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Part of the Mathematics in Industry book series (TECMI,volume 12)

Within the wide field of classification on the Machine Learning discipline, Bayesian classifiers are very well established paradigms. They allow the user to work with probabilistic processes, as well as, with graphical representations of the relationships among the variables of a problem.

Keywords

  • Systemic Lupus Erythematosus
  • Bayesian Network
  • Knowledge Discovery
  • Basque Country
  • Bayesian Classifier

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Armañanzas, R. et al. (2008). Bayesian Classifiers with Consensus Gene Selection: A Case Study in the Systemic Lupus Erythematosus. In: Bonilla, L.L., Moscoso, M., Platero, G., Vega, J.M. (eds) Progress in Industrial Mathematics at ECMI 2006. Mathematics in Industry, vol 12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71992-2_91

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