April 18, 2024 In Unkategorisiert
Chebifier: automating semantic classification in ChEBI to boost up data-driven discovery
Digital Discovery, 2024, Advance Article
DOI: 10.1039/D3DD00238A, Paper
DOI: 10.1039/D3DD00238A, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Martin Glauer, Fabian Neuhaus, Simon Flügel, Marie Wosny, Till Mossakowski, Adel Memariani, Johannes Schwerdt, Janna Hastings
Connecting chemical structural representations with meaningful categories and semantic annotations representing existing knowledge enables data-driven digital discovery from chemistry data.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
Connecting chemical structural representations with meaningful categories and semantic annotations representing existing knowledge enables data-driven digital discovery from chemistry data.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
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