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.
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CITATION STYLE
Tuck, D. (2022). A cancer graph: a lung cancer property graph database in Neo4j. BMC Research Notes, 15(1). https://doi.org/10.1186/s13104-022-05912-9
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