Clinical Knowledge Graph

We have developed the Clinical Knowledge Graph (CKG), an open source platform currently comprised of more than 16 million nodes and 220 million relationships to represent relevant experimental data, public databases and the literature. The CKG incorporates the latest statistical and machine learning algorithms, drastically accelerating analysis and interpretation of typical proteomics workflows. We use several biomarker studies to illustrate how the CKG may support, enrich and accelerate clinical decision-making. Here, we are uploading a dump of CKG's database that can be used to easily create a Neo4 graph database harmonizing 9 ontologies, 26 relevant biomedical databases. Experimental studies included in the publication are also included as CKG reports. To get the full database up and running follow the installation instructions specified in CKG's documentation (https://github.com/MannLabs/CKG) and GitHub repository (https://github.com/MannLabs/CKG).

搜集汇总

背景与挑战

背景概述

Clinical Knowledge Graph是一个开源平台，包含超过1600万个节点和2.2亿个关系，整合了9个本体和26个生物医学数据库，用于加速蛋白质组学工作流的分析和解释。该数据集支持临床决策，并提供详细的安装指南和GitHub资源。