Machine learning models for lung cancer classification using array comparative genomic hybridization

@article{Aliferis2002MachineLM,
  title={Machine learning models for lung cancer classification using array comparative genomic hybridization},
  author={Constantin F. Aliferis and Douglas P. Hardin and Pierre P. Massion},
  journal={Proceedings. AMIA Symposium},
  year={2002},
  pages={7-11}
}
Array CGH is a recently introduced technology that measures changes in the gene copy number of hundreds of genes in a single experiment. The primary goal of this study was to develop machine learning models that classify non-small Lung Cancers according to histopathology types and to compare several machine learning methods in this learning task. DNA from… CONTINUE READING