Mapping biomedical literature with WNT signaling pathway.
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.
Pena-Hernandez
Keila E
KE
Pathology and Anatomical Science Dept, University of Missouri, Columbia, MO, USA.
Pena-Hernandez
Keila Enid
KE
Mahamaneerat
Wannapa K
WK
Mahamaneerat
Wannapa Kay
WK
Kobayashi
Tetsuya
T
Shyu
Chi-Ren
CR
Arthur
Gerald
G
Caldwell
Charles W
CW
Caldwell
Charles William
CW
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*
D051153:Wnt Proteins