基本信息
浏览量:11
职业迁徙
个人简介
Biomedical Text Mining: The biomedical literature databases continue to grow rapidly with vital information that is important for conducting sound biomedical research. BioMap is an attempt to create a scalable knowledgebase of biological relationships extracted from vast amount of biomedical literature data. The development of BioMap system addresses several innovative research issues related to knowledge discovery from literature documents and real-time, interactive access of this knowledge. Specific problems that are being investigated are: discovering explicit, implicit and directional relationships among biological entities from abstracts and full text documents; discovering both explicit and implicit protein-protein interactions and computationally validating these interactions; and, obtaining novel pathways associated with specific diseases in question. Protein-protein, gene-protein, disease-drug interactions are examples of biological associations that are automatically discovered from large number of literature documents. BioMap can discover interactions in user specified biomedical problem domains such as inflammatory diseases, regenerative biology, cancer, etc., and provide a user-centric view of the knowledge that are discovered.
研究兴趣
论文共 176 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Journal for STEM Education Researchpp.1-26, (2023)
Student Support ServicesUniversity Development and Administrationpp.663-676, (2022)
VISIGRAPP (2: IVAPP)pp.214-221, (2016)
Journal of Biomedical Informatics (2015): 213-219
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn