PuMA:PubMed基因/细胞类型关系图谱
Lucas Bickmann1, Sarah Sandmann1, Carolin Walter2
1Institute of Medical Data Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
BMC bioinformatics
|July 30, 2025
概括
这项研究介绍了PubMed基因/细胞类型关系图谱 (PuMA),这是一个基于文献的细胞类型注释工具. PuMA从PubMed中提取基因和细胞类型信息,帮助研究人员自动识别细胞类型.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 自动化的细胞类型注释对于单细胞分析至关重要.
- 现有的工具依赖于精心策划的数据库或机器学习,但不充分探索将文献知识纳入.
研究的目的:
- 使用PubMed.开发一种基于文献的细胞类型注释工具.
- 为了促进从科学文献中提取和可视化基因细胞类型关系.
主要方法:
- 开发了PubMed基因/细胞类型关系图谱 (PuMA) 带有网页界面.
- 利用基于机器学习的命名实体识别模型从PubMed中提取基因和细胞类型概念.
- 链接生物医学本体学,并开发了基因细胞类型关系的排名得分.
主要成果:
- PuMA提供了一个可搜索的界面,具有交互式图形可视化,用于探索基因-细胞类型关系.
- 结果可以追溯到特定的PubMed文章.
- 在鼠标和人类数据集中,PuMA 展示了与手动策划的数据库相比的竞争性性能.
结论:
- PuMA允许使用PubMed文章进行自动化的细胞类型注释,补充现有数据库.
- 该软件框架支持通过定期的物品进口增加知识更新.
- 基于最新的科学文献,PuMA为研究人员提供了一种有价值的工具,用于分析和自动化细胞类型注释.
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