癌症图谱：Neo4j 中的肺癌属性图数据库。
A cancer graph: a lung cancer property graph database in Neo4j.
机构信息
VA Boston Healthcare System, 150 South Huntington Avenue, Boston, MA, 02130, USA.
出版信息
BMC Res Notes. 2022 Feb 14;15(1):45. doi: 10.1186/s13104-022-05912-9.
OBJECTIVES
A novel graph data model of non-small cell lung cancer clinical and genomic data has been constructed with two aims: (1) provide a suitable model for facilitating graph analytics within the Neo4j framework or through tools which can interact through existing Neo4j APIs; and (2) provide a base model extensible to other cancer types and additional datasets such as those derived from electronic health records and other real world sources.
DATA DESCRIPTION
Clinical and genomic data integrated with a novel property graph database schema from publicly available datasets and analyses based on The Cancer Genome Atlas lung cancer datasets augmented by with subgraphs patient-patient social network from similarity and correlation as well as individual based biological networks.
目的
构建了一个非小细胞肺癌临床和基因组数据的新型图数据模型，具有两个目的：(1)提供一个适合于在 Neo4j 框架内或通过可通过现有 Neo4j API 进行交互的工具进行图分析的模型；(2)提供一个可扩展到其他癌症类型和其他数据集（例如来自电子健康记录和其他真实来源的数据）的基础模型。
数据描述
临床和基因组数据与来自公开数据集的新型属性图数据库模式集成，并基于癌症基因组图谱肺癌数据集进行分析，其中还包括通过相似性和相关性以及基于个体的生物网络来自患者-患者社交网络的子图。
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