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ADMA
2006
Springer
192views Data Mining» more  ADMA 2006»
13 years 11 months ago
GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming
This work describes the use of a recently proposed technique
Wagner Rodrigo Weinert, Heitor S. Lopes
ADMA
2006
Springer
131views Data Mining» more  ADMA 2006»
14 years 1 months ago
Distance Guided Classification with Gene Expression Programming
Gene Expression Programming (GEP) aims at discovering essential rules hidden in observed data and expressing them mathematically. GEP has been proved to be a powerful tool for cons...
Lei Duan, Changjie Tang, Tianqing Zhang, Dagang We...
BMCBI
2005
145views more  BMCBI 2005»
13 years 7 months ago
CAGER: classification analysis of gene expression regulation using multiple information sources
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Jianhua Ruan, Weixiong Zhang
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
14 years 25 days ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
MDAI
2005
Springer
14 years 28 days ago
Cancer Prediction Using Diversity-Based Ensemble Genetic Programming
Combining a set of classifiers has often been exploited to improve the classification performance. Accurate as well as diverse base classifiers are prerequisite to construct a good...
Jin-Hyuk Hong, Sung-Bae Cho