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» Multi-label Classification with Gene Expression Programming
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ADMA
2006
Springer
131views Data Mining» more  ADMA 2006»
13 years 11 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...
ADMA
2006
Springer
192views Data Mining» more  ADMA 2006»
13 years 8 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
13 years 9 months ago
Multi-label Classification with Gene Expression Programming
J. L. Ávila, Eva Lucrecia Gibaja Galindo, S...
BMCBI
2005
145views more  BMCBI 2005»
13 years 4 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
RECOMB
2009
Springer
14 years 5 months ago
A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series
Abstract. Understanding the regulatory mechanisms that are responsible for an organism's response to environmental changes is an important question in molecular biology. A fir...
Oliver Stegle, Katherine J. Denby, David L. Wild, ...