@article {969,
	title = {Modeling Logic Gene Networks by Means of Probabilistic Dynamic P Systems},
	journal = {International Journal of Unconventional Computing},
	volume = {9},
	number = {5-6},
	year = {2013},
	month = {10/2013},
	pages = {445-464},
	publisher = {Old City Publishing Inc.},
	address = {Philadelphia, USA},
	abstract = {Gene regulatory networks are useful models for biologists to understand the interactions among genes in living organisms. In this work, we consider a special class of gene regulatory networks, called logical networks, where the {\textquotedblleft}links{\textquotedblright} among genes are inferred by logic analysis of phylogenetic profiles. We provide a formalization of logic networks, and introduce a membrane computing model for reconstructing logical networks and reproducing their dynamics. An example logical network is simulated by using software P-Lingua and MeCoSim. The simulation result shows that membrane computing is a versatile framework for modeling different biological scenarios.},
	keywords = {gene, genetic network, logic network, Membrane computing, P system, System biology},
	issn = {1548-7199},
	url = {http://www.oldcitypublishing.com/IJUC/IJUCcontents/IJUCv9n5-6contents.html},
	author = {Luis Valencia-Cabrera and Manuel Garc{\'\i}a-Quismondo and Mario J. P{\'e}rez-Jim{\'e}nez and Yansen Su and Hui Yu and Linqiang Pan}
}
