Classification error as a measure of gene relevance in cancer diagnosis

@article{Maglietta2006ClassificationEA,
  title={Classification error as a measure of gene relevance in cancer diagnosis},
  author={Rosalia Maglietta and Annarita D'Addabbo and Ada Piepoli and Francesco Perri and Sabino Liuni and Graziano Pesole and Nicola Ancona},
  journal={The 2006 IEEE International Joint Conference on Neural Network Proceedings},
  year={2006},
  pages={3553-3560}
}
One of the main problems in cancer diagnosis by using DNA microarray data is selecting genes relevant for the pathology by analyzing their expression profiles in tissues in two different phenotypical conditions. The question we pose is the following: how do we measure the relevance of a single gene in a given pathology? A gene is relevant for a particular… CONTINUE READING