Gene Selection for Cancer Classification using Support Vector Machines

@article{Guyon2004GeneSF,
  title={Gene Selection for Cancer Classification using Support Vector Machines},
  author={Isabelle Guyon and Jason Weston and Stephen D. Barnhill and Vladimir Naumovich Vapnik},
  journal={Machine Learning},
  year={2004},
  volume={46},
  pages={389-422}
}
DNA micro-arrays now permit scientists to screen thousands of genes simultaneously and determine whether those genes are active, hyperactive or silent in normal or cancerous tissue. [] Key Method We propose a new method of gene selection utilizing Support Vector Machine methods based on Recursive Feature Elimination (RFE). We demonstrate experimentally that the genes selected by our techniques yield better classification performance and are biologically relevant to cancer.In contrast with the baseline method…
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