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ADMA
2006
Springer
131views Data Mining» more  ADMA 2006»
14 years 4 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
2006
173views more  BMCBI 2006»
13 years 11 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
ADMA
2006
Springer
192views Data Mining» more  ADMA 2006»
14 years 2 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
HAIS
2009
Springer
14 years 3 months ago
Multi-label Classification with Gene Expression Programming
J. L. Ávila, Eva Lucrecia Gibaja Galindo, S...
BMCBI
2010
135views more  BMCBI 2010»
13 years 11 months ago
Simple and flexible classification of gene expression microarrays via Swirls and Ripples
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
Stuart G. Baker