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» Classification of microarray data using gene networks
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ISMIS
2003
Springer
15 years 5 months ago
Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...
Chanho Park, Sung-Bae Cho
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
15 years 5 months 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
BMCBI
2008
121views more  BMCBI 2008»
14 years 12 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
ISCI
2002
55views more  ISCI 2002»
14 years 11 months ago
Interpreting microarray expression data using text annotating the genes
Michael Molla, Peter Andreae, Jeremy D. Glasner, F...