Improving the prediction of the clinical outcome of breast cancer using evolutionary algorithms

Abstract

There exist several methods for binary classification of gene expression data sets. However, in the majority of published methods, little effort has been made to minimize classifier complexity. In view of the small number of samples available in most gene expression data sets, there is a strong motivation for minimizing the number of free parameters that… (More)
DOI: 10.1007/s00500-005-0492-x

Topics

6 Figures and Tables

Cite this paper

@article{Wahde2006ImprovingTP, title={Improving the prediction of the clinical outcome of breast cancer using evolutionary algorithms}, author={Mattias Wahde and Zoltan Szallasi}, journal={Soft Comput.}, year={2006}, volume={10}, pages={338-345} }