A cancer graph: a lung cancer property graph database in Neo4j.

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Author: David Tuck
Date: Feb. 14, 2022
From: BMC Research Notes(Vol. 15, Issue 1)
Publisher: BioMed Central Ltd.
Document Type: Report
Length: 1,455 words
Lexile Measure: 1650L

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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. Keywords: Non-small cell lung cancer, Property graph database, The Cancer Genome Atlas

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Gale Document Number: GALE|A699458163