title: GIS: a biomedical text-mining system for gene information discovery.
abstract: We present a biomedical text-mining system focused on four types of gene-related information: biological functions, associated diseases, related genes and gene-gene relations. The aim of this system is to provide researchers an easy-to-use bio-information service that will rapidly survey the rapidly burgeoning biomedical literature.
  
  
  BACKGROUND
  http://iir.csie.ncku.edu.tw/~yuhc/gis/
authors.affiliation: Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, Taiwan, ROC. jchiang@mail.ncku.edu.tw
authors.forename: Jung-Hsien
authors.initials: JH
authors.lastname: Chiang
authors.forename: Hsu-Chun
authors.initials: HC
authors.lastname: Yu
authors.forename: Huai-Jen
authors.initials: HJ
authors.lastname: Hsu
mesh_terms: D000043:Abstracting and Indexing; D003628:Database Management Systems; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation / Q000502:physiology; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing; D039781:PubMed; D012984:Software; D013358:Subject Headings; D009626:Terminology as Topic; D018875:Vocabulary, Controlled