@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},
	}