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Robert Hoehndorf

King Abdullah University of Science and Technology
University of Cambridge
Aberystwyth University

249

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3770

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Evaluating semantic similarity methods for comparison of text-derived phenotype profiles.

2022 BMC Medical Informatics Decis. Mak.
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A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology.

2022 J. Biomed. Semant.
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DeepSVP: integration of genotype and phenotype for structural variant prioritization using deep learning.

2022 Bioinform.
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Using SPARQL to Unify Queries over Data, Ontologies, and Machine Learning Models in the PhenomeBrowser Knowledgebase.

2022 | SWAT4HCLS
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DeepMOCCA: A pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integration

2021 bioRxiv
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DTI-Voodoo: machine learning over interaction networks and ontology-based background knowledge predicts drug-target interactions

2021 bioRxiv
- Tilman Hinnerichs
- Robert Hoehndorf
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DTI-Voodoo: machine learning over interaction networks and ontology-based background knowledge predicts drug–target interactions

2021 bioRxiv
- Hinnerichs T
- Robert Hoehndorf
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Multi-faceted Semantic Clustering With Text-derived Phenotypes

2021 medRxiv
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DeepViral: prediction of novel virus-host interactions from protein sequences and infectious disease phenotypes.

2021 Bioinformatics
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DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web.

2021 Nucleic Acids Research
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