TY - JFULL AU - Efendi Zaenudin and Chien-Hung Huang and Ka-Lok Ng PY - 2021/6/ TI - Identifying Network Subgraph-Associated Essential Genes in Molecular Networks T2 - International Journal of Mathematical and Computational Sciences SP - 70 EP - 77 VL - 15 SN - 1307-6892 UR - https://publications.waset.org/pdf/10012028 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 173, 2021 N2 - Essential genes play an important role in the survival of an organism. It has been shown that cancer-associated essential genes are genes necessary for cancer cell proliferation, where these genes are potential therapeutic targets. Also, it was demonstrated that mutations of the cancer-associated essential genes give rise to the resistance of immunotherapy for patients with tumors. In the present study, we focus on studying the biological effects of the essential genes from a network perspective. We hypothesize that one can analyze a biological molecular network by decomposing it into both three-node and four-node digraphs (subgraphs). These network subgraphs encode the regulatory interaction information among the network’s genetic elements. In this study, the frequency of occurrence of the subgraph-associated essential genes in a molecular network was quantified by using the statistical parameter, odds ratio. Biological effects of subgraph-associated essential genes are discussed. In summary, the subgraph approach provides a systematic method for analyzing molecular networks and it can capture useful biological information for biomedical research. ER -