Biogeography-based informative gene selection and cancer classification using SVM and Random Forests

@article{Nikumbh2012BiogeographybasedIG,
  title={Biogeography-based informative gene selection and cancer classification using SVM and Random Forests},
  author={Sarvesh Nikumbh and Shameek Ghosh and Vaidyanathan K. Jayaraman},
  journal={2012 IEEE Congress on Evolutionary Computation},
  year={2012},
  pages={1-6}
}
Microarray cancer gene expression data comprise of very high dimensions. Reducing the dimensions helps in improving the overall analysis and classification performance. We propose two hybrid techniques, Biogeography - based Optimization - Random Forests (BBO - RF) and BBO - SVM (Support Vector Machines) with gene ranking as a heuristic, for microarray gene expression analysis. This heuristic is obtained from information gain filter ranking procedure. The BBO algorithm generates a population of… CONTINUE READING
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