Authors : V. Sujatha and Shaheda Akthar
Abstract: Microarray information is an secondary dimensional dataset with a little example measure which holds not main pertinent as well as unimportant what’s more excess genes. Gene interpretation profiling may be measuring those action about many genes simultaneously. Identikit right gene determination will be an significant errand to microarray information order. Genetic algorithms gets its ideas from biological world and the way genes interact to other genes to make new genes. In this research, Genetic algorithm is Applied on Lymphoblastic Leukaemia (ALL) data set. This fill in summarizes majority of the data signifying gene interpretation profile of five assemblies of patients (EMLLA, Hyp+50, MLL, T, also TEL), dispose of the The majority irrelavant genes, most extreme and least outflow esteem for each gene, furthermore, genes were positioned by least also maximam values, what’s more assuming that they were inside the highest point 15% were chose to characteristic examination.
V. Sujatha and Shaheda Akthar, 2018. Variable Selection in Functional Genomics Using Genetic Algorithm-Based Feature Selection Method-An Empirical Study. Journal of Engineering and Applied Sciences, 13: 4851-4858.