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通过本体学赋予癌症疫苗标准化权力:增强建模和数据分析
Jie Zheng1, Xingxian Li2, Anna Maria Masci3
1Unit for Laboratory Animal Medicine, University of Michigan, Ann Arbor, MI, 48109, USA.
Journal of biomedical semantics
|June 18, 2024
概括
这项研究将疫苗本体学 (VO) 扩展到系统地模拟癌症疫苗,改进数据集成和分析. 一个新的癌症疫苗专用视图 (CVO) 增强了癌症疫苗的研究能力.
科学领域:
- 生物医学信息学 生物医学信息学
- 免疫学 免疫学 免疫学
- 在瘤学瘤学.
背景情况:
- 癌症疫苗研究产生了大量,异质的数据,阻碍了整合和分析.
- 像CanVaxKB这样的现有数据库缺乏结构化关系和标准化定义的本体论.
- 疫苗本体学 (VO) 被扩展,以解决癌症疫苗数据中的这些局限性.
研究的目的:
- 在疫苗本体学 (VO) 中系统地建模和代表癌症疫苗.
- 增强VO在定义和相互关联各种癌症疫苗方面的能力.
- 促进癌症疫苗数据的标准化,综合和深入分析.
主要方法:
- 开发并应用了一个本体设计模式 (ODP),以语义地表示癌症疫苗及其关系.
- 创建了一个癌症疫苗模板,转换为RDF/OWL格式,用于VO.
- 使用描述逻辑 (DL) 和SPARQL进行查询和展示VO的多功能性.
- 创建了一个癌症疫苗特定的VO视图 (CVO) 与928类,包括704种癌症疫苗.
主要成果:
- 成功地将VO扩展到包括癌症疫苗,增强系统的定义和相互关系.
- 创建了一个癌症疫苗特定视图 (CVO),包含704种癌症疫苗.
- 开发了一个自动将癌症疫苗纳入VO的管道.
- 证明了VO对癌症疫苗概念和研究的深入分析的实用性.
结论:
- 扩展的VO和CVO为癌症疫苗数据提供了一个标准化的框架.
- 本体模型加深了癌症疫苗信息的分析,使研究人员和临床医生受益.
- 自动化纳入管道简化了数据丰富,并在VO中保持一致性.
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