A Genetic Programming Based ECOC Algorithm for Microarray Data Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{conf/iconip/WangLL17a,

• author = "HanRui Wang and KeSen Li and KunHong Liu",
• title = "A Genetic Programming Based {ECOC} Algorithm for Microarray Data Classification",
• booktitle = "Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part VI",
• editor = "Derong Liu and Shengli Xie and Yuanqing Li and Dongbin Zhao and El-Sayed M. El-Alfy",
• publisher = "Springer",
• year = "2017",
• volume = "10639",
• series = "Lecture Notes in Computer Science",
• pages = "683--691",
• keywords = "genetic algorithms, genetic programming",
• bibdate = "2017-11-19",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/iconip/iconip2017-6.html#WangLL17a",
• isbn13 = "978-3-319-70135-6",
• DOI = "doi:10.1007/978-3-319-70136-3_72",
• abstract = "Microarray technology aims to discover the relationship between genes and cancers. But the analysis of multiclass microarray datasets is a difficult problem in considering the small sample size along with the class imbalance problem. In this paper, we propose a Genetic Programing (GP) based Error Correcting Output Codes (ECOC) algorithm to tackle this problem. In our GP framework, each individual represents a codematrix, and a legality checking mechanism is applied to avoid the production of illegal codematrices. So the algorithm evolves towards optimum ECOC codematrices. In experiments, our algorithm is compared with other methods based on four famous microarray datasets. Experimental results prove that our algorithm can achieve better results in most cases.",

}

Genetic Programming entries for Han-Rui Wang Ke-Sen Li Kun-Hong Liu

Citations