title: Mapping biomedical literature with WNT signaling pathway.
abstract: Epigenetic studies in cancer pathways have been essential in helping scientists understand the key players in cancer. Gene relationships reported in biomedical literature are valuable to understand the interaction network. Nevertheless, biomedical literature is growing rapidly and the scientific community needs a mechanism to have up-to-date pathways that reflect the new findings from the literature. In this work, we are developing informatics tools to extract gene relationship from literature using text mining and semantic understanding.
authors.affiliation: Pathology and Anatomical Science Dept, University of Missouri, Columbia, MO, USA.
authors.forename: Keila E
authors.initials: KE
authors.lastname: Pena-Hernandez
authors.forename: Keila Enid
authors.initials: KE
authors.lastname: Pena-Hernandez
authors.forename: Wannapa K
authors.initials: WK
authors.lastname: Mahamaneerat
authors.forename: Wannapa Kay
authors.initials: WK
authors.lastname: Mahamaneerat
authors.forename: Tetsuya
authors.initials: T
authors.lastname: Kobayashi
authors.forename: Chi-Ren
authors.initials: CR
authors.lastname: Shyu
authors.forename: Gerald
authors.initials: G
authors.lastname: Arthur
authors.forename: Charles W
authors.initials: CW
authors.lastname: Caldwell
authors.forename: Charles William
authors.initials: CW
authors.lastname: Caldwell
mesh_terms: D001185:Artificial Intelligence; D057225:Data Mining; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D008954:Models, Biological; D009323:Natural Language Processing; D009369:Neoplasms / Q000378:metabolism*; D010506:Periodicals as Topic; D015398:Signal Transduction; D014922:Wisconsin; D051153:Wnt Proteins / Q000145:classification* / Q000378:metabolism*
chemical_list: D051153:Wnt Proteins