HALD,一个用于精密老年学和老年科学分析的人类衰老和寿命长寿知识图
Zexu Wu1, Cong Feng1,2, Yanshi Hu1
1Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Scientific data
|December 1, 2023
概括
这项研究介绍了HALD,这是从生物医学文献中提取的关于人类衰老和寿命知识的新型数据集. 哈尔德组织复杂的衰老信息,以推进老年科学研究和开发抗衰老疗法.
科学领域:
- 老年学和老年科学是老年学和老年科学.
- 生物医学信息学 生物医学信息学
- 计算生物学 计算生物学
背景情况:
- 人类老龄化增加了与年龄有关的疾病的易感性,需要全面了解衰老机制.
- 关于衰老和寿命的生物医学知识是巨大的,在数以百万计的出版物中碎片化,阻碍了研究.
- 统一,可访问的知识库对于推进精密老年学和老年科学至关重要.
研究的目的:
- 开发HALD,一个基于文本挖掘的人类衰老和长寿数据集.
- 将分散的生物医学知识整合到一个全面的知识图表中.
- 为了促进精确的老年学和老年科学分析.
主要方法:
- 使用文本挖掘和最先进的自然语言处理 (NLP) 技术.
- 提取的实体 (基因,疾病,生物标志物等) 和来自PubMed文献的关系.
- 构建了一个专注于人类衰老和寿命的生物医学知识图.
主要成果:
- HALD包含12227个实体,跨越10个类型和115522个关系.
- 该数据集包括1855个衰老生物标志物和525个长寿生物标志物.
- 数据来自339,918篇生物医学文章,截至2023年9月.
结论:
- HALD为人类衰老和长寿研究提供了有价值的综合资源.
- 该数据集提高了地质科学知识的准确性和覆盖范围.
- 哈尔德支持新型抗衰老疗法和精准医学方法的开发.
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