NDLI: Evolutionary ensemble classifier for lymphoma and colon cancer classification

Content Provider	IEEE Xplore Digital Library
Author	Chanho Park Sung-Bae Cho
Copyright Year	2003
Description	Author affiliation: Dept. of Comput. Sci., Yonsei Univ., South Korea (Chanho Park; Sung-Bae Cho)
Abstract	Cancer is one of the most dangerous diseases for people. Recently, development of array technologies makes it possible to measure thousands of genes at once, and it can be used to treat cancer. Various methods using array data to classify cancer are proposed, but there are no perfect and general methods. Ensemble method can demonstrate its ability if there are complementary set of individuals. However, it is needed methods to search the optimal ensembles, because there are so many available ensembles. We propose a GA-based method to search the optimal ensemble. In two benchmark datasets, our proposed method has shown significant result in the aspects of performance and time efficiency under the several situations.
Sponsorship	Air Force Iffice of Sci. Res. Asian Office of Aerospace Res and Development Army Res. Office - Far East CISCO Evoluationary Programming Soc. IEE Inst. of Engineers, Australia IEEE Neural Networks Soc. Univ. of New South Wales
Starting Page	2378
Ending Page	2385
File Size	541328
Page Count	8
File Format	PDF
ISBN	0780378040
DOI	10.1109/CEC.2003.1299385
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-08
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Colon Gene expression DNA Diseases Computer science Modems Cancer detection Robustness Genetic algorithms Biological cells
Content Type	Text
Resource Type	Article

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