Text mining biomedical literature for constructing gene regulatory networks.
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.
Song
Yong-Ling
YL
Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USA.
Chen
Su-Shing
SS
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