@article{(Open Science Index):https://publications.waset.org/pdf/17203,
	  title     = {An Integrated Predictor for Cis-Regulatory Modules},
	  author    = {Darby Tien-Hao Chang and  Guan-Yu Shiu and  You-Jie Sun},
	  country	= {},
	  institution	= {},
	  abstract     = {Various cis-regulatory module (CRM) predictors have been proposed in the last decade. Several well-established CRM predictors adopted different categories of prediction strategies, including window clustering, probabilistic modeling and phylogenetic footprinting. Appropriate integration of them has a potential to achieve high quality CRM prediction. This study analyzed four existing CRM predictors (ClusterBuster, MSCAN, CisModule and MultiModule) to seek a predictor combination that delivers a higher accuracy than individual CRM predictors. 465 CRMs across 140 Drosophila melanogaster genes from the RED fly database were used to evaluate the integrated CRM predictor proposed in this study. The results show that four predictor combinations achieved superior performance than the best individual CRM predictor.
},
	    journal   = {International Journal of Biotechnology and Bioengineering},
	  volume    = {7},
	  number    = {10},
	  year      = {2013},
	  pages     = {998 - 1001},
	  ee        = {https://publications.waset.org/pdf/17203},
	  url   	= {https://publications.waset.org/vol/82},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 82, 2013},
	}