Extracting relationship both gene2disease and gene2gene from biomedical literatures

摘要：

With the rapid advancement of biomedical science, the extraction of various types of information from biomedical literatures has become a major challenge. In this paper, we develop a system to extract the relationship both gene2disease and gene2gene using a combined approach including pattern, ontology-based and co-occurrence technology. Our system can easily find the relevant genes related to autism disease. Moreover, it can find indirect relationship between gene and gene by the network visualization. Experiment results show our system can achieve a recall of 81.1%, a precision of 76.9% and an F-score 78.9% in the gene2disease, and a recall of 84.5%, a precision of 87.5%, and an F-score 85.9% in the gene2gene for the test datasets.

作者: Le-Jun Gong Xiao Sun

作者单位: State Key Laboratory of Bioelectronics Southeast University Nanjing, P.R.China Huaiyin Institute of State Key Laboratory of Bioelectronics Department of Biological Science and Medical Engineering, Sou

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）