Combined Genetic Programming for Microarray Data Possible Biomarkers for cancer Data
Preprocessing, Genetic Program(GP), majority voting(MV), analyzing frequently affected gene)
Researchers have found different types of cancer cell along with various normal gene structures in Microarray data. It is possible to set benchmark for finding out affected cell from normal one using various machine learning technique. Due to wide range of gene about thousand of them and minimum training data there occurs imbalance between them. This difference can be minimized using various optimizing algorithm and machine learning technique. In this paper we proposed Combined Genetic Programming for Microarray Data along with Majority Voting(MV) for classification. Genetic program along with MV act as both classifier and gene selection. The potential challenge for genetic program is it has to find gene type and also has to find optimal solution.
Jayaker J, Ms M.Dhivya. "Combined Genetic Programming for Microarray Data Possible Biomarkers for cancer Data".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.2, Issue 1, pp.1113-1117, URL :https://rjwave.org/ijedr/papers/IJEDR1401199.pdf
Volume 2 Issue 1
Pages. 1113-1117
