Exploring novel algorithms for the prediction of cancer classification

  title={Exploring novel algorithms for the prediction of cancer classification},
  author={Austin H. Chen and Jen-Chieh Hsu},
  journal={The 2nd International Conference on Software Engineering and Data Mining},
In the past decade, DNA microarray technologies have had a great impact on cancer genome research; this technology has been viewed as a promising approach in predicting cancer classes and prognosis outcomes. In this paper, we proposed two systematic methods which can predict cancer classification. By applying the genetic algorithm gene selection (GAGS) method in order to find an optimal information gene subset, we avoid the over-fitting problem caused by attempting to apply a large number of… CONTINUE READING
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Use of gene networks from full genome microarray libraries to identify functionally relevant drug-affected genes and gene regulation cascades

  • C Savoie
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  • 2003
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