@inproceedings{0205f88f6a5744f7bef4c12c732b04b0,
title = "Using genetic programming to classify node positive patients in bladder cancer",
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.",
keywords = "Bladder cancer, Classification, Feature selection, Genetic Programming, Machine Learning, Nodal staging",
author = "Almal, {Arpit A.} and Mitra, {Anirban P.} and Datar, {Ram H.} and Lenehan, {Peter F.} and Fry, {David W.} and Cote, {Richard J.} and Worzel, {William P.}",
year = "2006",
doi = "10.1145/1143997.1144040",
language = "English",
isbn = "1595931864",
series = "GECCO 2006 - Genetic and Evolutionary Computation Conference",
publisher = "Association for Computing Machinery",
pages = "239--246",
booktitle = "GECCO 2006 - Genetic and Evolutionary Computation Conference",
note = "8th Annual Genetic and Evolutionary Computation Conference 2006 ; Conference date: 08-07-2006 Through 12-07-2006",
}