title: Text mining biomedical literature for constructing gene regulatory networks.
abstract: In this paper, we present the framework of a Gene Regulatory Networks System: GRNS. The goals of GRNS include automatically mining biomedical literature to extract gene regulatory information (strain number, genotype, gene regulatory relation, and phenotype), automatically constructing gene regulatory networks based on extracted information and integrating biomedical knowledge into the regulatory networks.
authors.affiliation: Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USA.
authors.forename: Yong-Ling
authors.initials: YL
authors.lastname: Song
authors.forename: Su-Shing
authors.initials: SS
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D001331:Automation; D019295:Computational Biology / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D053263:Gene Regulatory Networks; D023281:Genomics; D005838:Genotype; D020407:Internet; D008957:Models, Genetic; D008962:Models, Theoretical; D009323:Natural Language Processing; D010641:Phenotype; D011550:Pseudomonas aeruginosa / Q000378:metabolism; D012984:Software