Ranking of Cancer Mediating Genes: A Novel Approach Using Genetic Algorithm in DNA Microarray Gene Expression Dataset

摘要: Genes need to be investigated either in Gene Interaction Network or a DNA microarray gene expression data understand the role they play complex diseases like cancer. The prioritized genes can help us know molecular mechanism, as well discover promising candidates of Several ranking algorithms already have been proposed that produces top ranked according their importance with respect particular disease. In this work, we developed one Genetic Algorithm (GA) based algorithm, MicroarrayGA, rank responsible for cancer occur. whole research works on six datasets Colorectal Cancer, Diffuse Large B-Cell Lymphoma, Pediatric Immune Thrombocytopenia (ITP), Small Cell Lung Cancer (SCLC), Breast and Prostate publicly available from NCBI (National Center Biotechnology Information) online repository. We validated outcome algorithm by classification step using Support Vector Machine (SVM) classifier also compared results MicroarrayGA three existing methods basis percentage accuracy, precision, recall, F1-Score G-Mean metrics.