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Using genetic programming to classify node positive patients in bladder cancer
Conference proceeding

Using genetic programming to classify node positive patients in bladder cancer

Arpit Almal, Anirban Mitra, Ram Datar, Peter Lenehan, David Fry, Richard Cote and William Worzel
Proceedings of the 8th annual conference on genetic and evolutionary computation, Vol.1, pp.239-246
GECCO '06
2006-07-08
DOI: https://doi.org/10.1145/1143997.1144040

Abstract

genetic programming classification machine learning bladder cancer feature selection nodal staging
Nodal staging has been identified as an independent indicator of prognosis. Quantitative RT-PCR data was taken for 70 genes associated with bladder cancer and genetic programming was used to develop classification rules associated with nodal stages of bladder cancer. This study suggests involvement of several key genes for discriminating between samples with and without nodal metastasis.

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