A Cancer Graph: a Lung Cancer Property Graph Database in Neo4j

Overview

Journal BMC Res Notes

Publisher Biomed Central

Specialties Biology
General Medicine

Date 2022 Feb 15

PMID 35164854

Authors

David Tuck

Affiliations

Soon will be listed here.

Abstract

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.

Citing Articles

The Generation of a Lung Cancer Health Factor Distribution Using Patient Graphs Constructed From Electronic Medical Records: Retrospective Study.

Chen A, Huang R, Wu E, Han R, Wen J, Li Q J Med Internet Res. 2022; 24(11):e40361.

PMID: 36427233 PMC: 9736747. DOI: 10.2196/40361.

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