MetaboKG supplies a transformation workflow, semantic model based on PROV-O/SIO and domain ontologies, and Universal Annotation Identifier to enable graph-based integration and SPARQL queries over 680 GNPS molecular networking results.
Nucleic Acids Research40(Database issue), D136–D143 (Jan 2012)
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
BeLink applies set-wise instruction-tuning to generative LLMs at the re-ranking stage of biomedical entity linking, reporting 3-24% accuracy gains and reduced inference time versus prior methods.
Presents a scalable system to build a biochemistry knowledge graph (BCKG) from literature and databases, with an application shown for carbohydrate enzymes.
citing papers explorer
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MetaboKG: An Analysis-centric Knowledge Graph Framework for Untargeted Metabolomics
MetaboKG supplies a transformation workflow, semantic model based on PROV-O/SIO and domain ontologies, and Universal Annotation Identifier to enable graph-based integration and SPARQL queries over 680 GNPS molecular networking results.
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BeLink: Biomedical Entity Linking Meets Generative Re-Ranking
BeLink applies set-wise instruction-tuning to generative LLMs at the re-ranking stage of biomedical entity linking, reporting 3-24% accuracy gains and reduced inference time versus prior methods.
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An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries
Presents a scalable system to build a biochemistry knowledge graph (BCKG) from literature and databases, with an application shown for carbohydrate enzymes.