Simultaneous gene selection and cancer classification using a hybrid group search optimizer

  • Authors:
  • Dattatraya Magatrao;Shameek Ghosh;Jayaraman Valadi;Patrick Siarry

  • Affiliations:
  • University of Pune, Pune, India, Pune, India;C-DAC, Pune, India, Pune, India;C-DAC, Pune / Shiv Nadar University, Dadri, UP, Pune/ UP, India;Université Paris-Est Créteil, Val-de-Marne, Créteil, France

  • Venue:
  • Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
  • Year:
  • 2013

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Abstract

Constructing classifier models for gene expression datasets using informative features enhances prediction performance of concerned models. Here, we propose a hybrid Group Search based feature selection (GSO-FS) algorithm which can select relevant gene subsets that can optimally predict cancerous tissue samples. Our experimental results show that the GSO-FS algorithm in combination with SVM classifier performs quite well.