The importance of graph databases and graph learning for clinical applications.

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Bibliographic Details
Title: The importance of graph databases and graph learning for clinical applications.
Authors: Walke D; Bioprocess Engineering, Otto von Guericke University, Universitätsplatz 2, Magdeburg 39106, Germany.; Database and Software Engineering Group, Otto von Guericke University, Universitätsplatz 2, Magdeburg 39106, Germany., Micheel D; Database and Software Engineering Group, Otto von Guericke University, Universitätsplatz 2, Magdeburg 39106, Germany., Schallert K; Multidimensional Omics Analyses Group, Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Bunsen-Kirchhoff-Straße 11, Dortmund 44139, Germany., Muth T; Section eScience (S.3), Federal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, Berlin 12205, Germany., Broneske D; Infrastructure and Methods, German Center for Higher Education Research and Science Studies (DZHW), Lange Laube 12, Hannover 30159, Germany., Saake G; Database and Software Engineering Group, Otto von Guericke University, Universitätsplatz 2, Magdeburg 39106, Germany., Heyer R; Multidimensional Omics Analyses Group, Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Bunsen-Kirchhoff-Straße 11, Dortmund 44139, Germany.; Faculty of Technology, Bielefeld University, Universitätsstraße 25, Bielefeld 33615, Germany.
Source: Database : the journal of biological databases and curation [Database (Oxford)] 2023 Jul 10; Vol. 2023.
Publication Type: Review; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford Journals Country of Publication: England NLM ID: 101517697 Publication Model: Print Cited Medium: Internet ISSN: 1758-0463 (Electronic) Linking ISSN: 17580463 NLM ISO Abbreviation: Database (Oxford) Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1758-0463
DOI:10.1093/database/baad045