@article{(Open Science Index):https://publications.waset.org/pdf/10012028, title = {Identifying Network Subgraph-Associated Essential Genes in Molecular Networks}, author = {Efendi Zaenudin and Chien-Hung Huang and Ka-Lok Ng}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Mathematical and Computational Sciences}, volume = {15}, number = {5}, year = {2021}, pages = {71 - 77}, ee = {https://publications.waset.org/pdf/10012028}, url = {https://publications.waset.org/vol/173}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 173, 2021}, }