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Modelling gene and protein regulatory networks with Answer Set Programming
2011
International Journal of Data Mining and Bioinformatics
Recently, many approaches to model regulatory networks have been proposed in the systems biology domain, however the task is far from being solved. In this paper we propose an answer set programming (ASP) based approach to model interaction networks. We build a general ASP framework that describes the network semantics and allows to model specific networks with little effort. ASP provides a rich and flexible toolbox that allows to expand the framework with desired features. In this paper we
doi:10.1504/ijdmb.2011.039178
pmid:21544955
fatcat:beo22vcca5gjpbs5nkg2jqdmry