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Identifying Significant Genes from DNA Microarray Using Genetic Algorithm

Microarray technology is used to monitor thousands of gene expression levels simultaneously and gained attention in recent years. Identifying significant Gene based on expression levels becomes important for diseases prognosis and diagnosis. Evolutionary algorithms like Genetic algorithms are used for finding optimized solutions. The focus of this paper is to apply genetic algorithms as preprocessing technique for identifying significant genes from microarray datasets. The identified genes can be used for analysis for diseases prediction using data mining tasks. The genetic algorithm is implemented using R language for the lymphoma microarray dataset.