Using genetic programming to classify node positive patients in bladder cancer

Authors:
Arpit A. Almal;Anirban P. Mitra;Ram H. Datar;Peter F. Lenehan;David W. Fry;Richard J. Cote;William P. Worzel
Affiliations:
Genetics Squared Inc.;University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA;Genetics Squared Inc.;Genetics Squared Inc.;University of Southern California, Los Angeles, CA;Genetics Squared Inc.
Venue:
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Year:
2006

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Abstract

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.