DNA gene expression classification with ensemble classifiers optimized by speciated genetic algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3776 LNCS, Issue , 2005, Pages 649-653

  Kim, Kyung Joong ^a   Cho, Sung Bae ^a  

^a Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; DIAGNOSIS; GENES; GENETIC ALGORITHMS; OPTIMIZATION; TUMORS;

CANCER CLASSIFICATIONS; CANCER DIAGNOSIS; FITNESS SHARING GENETIC ALGORITHMS; OPTIMAL COMBINATIONS;

DNA SEQUENCES;

EID: 33646738473     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11590316_104     Document Type: Conference Paper

References (5)

1. Cho, S.-B., and Won, H.-H.: Data mining for gene expression profiles from DNA microarray. Int. Journal of Software Engineering and Knowledge Engineering, 13 (2003) 593-608
2. Tan, A. C. and Gilbert, D.: Ensemble machine learning on gene expression data for cancer classification. Applied Bioinformatics, 2 (2003) s75-s83
3. Tsymbal, A. and Puuronen, S.: Ensemble feature selection with the simple Bayesian classification in medical diagnostics. Proc. of the 15th IEEE Symp. on Computer-Based Medical Systems (2002) 225-230
4. Cho, S.-B., and Ryu, J.-W.: Classifying gene expression data of cancer using classifier ensemble with mutually exclusive features. Proc. of the IEEE, 90 (11) (2002) 1744-1753
5. L. I. Kuncheva, and L. C. Jain, "Designing classifier fusion systems by genetic algorithms," IEEE Transactions on Evolutionary Computation, vol. 4, no. 4, pp. 327-336, 2000.