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Robert Hoehndorf

Showing results (1-10 of 152) with videos related to

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Bioinformatics (Oxford, England)|July 28, 2019
DeepGOPlus: improved protein function prediction from sequenceMaxat Kulmanov, Robert Hoehndorf
Journal of Biomedical Semantics|September 20, 2019
Ontology based mining of pathogen-disease associations from literatureŞenay Kafkas, Robert Hoehndorf
Database : the Journal of Biological Databases and Curation|February 28, 2019
Ontology based text mining of gene-phenotype associations: application to candidate gene predictionŞenay Kafkas, Robert Hoehndorf
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Computational prediction of protein functional annotationsMaxat Kulmanov, Robert Hoehndorf
Bioinformatics (Oxford, England)|November 14, 2018
Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypesMona Alshahrani, Robert Hoehndorf
Bioinformatics (Oxford, England)|July 28, 2021
DTI-Voodoo: machine learning over interaction networks and ontology-based background knowledge predicts drug-target interactionsTilman Hinnerichs, Robert Hoehndorf
Plos Computational Biology|November 18, 2020
DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifierMaxat Kulmanov, Robert Hoehndorf
Journal of Biomedical Semantics|February 15, 2017
Evaluating the effect of annotation size on measures of semantic similarityMaxat Kulmanov, Robert Hoehndorf
Bioinformatics (Oxford, England)|May 19, 2021
DeepGOPlus: improved protein function prediction from sequenceMaxat Kulmanov, Robert Hoehndorf
Bioinformatics (Oxford, England)|June 27, 2022
DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axiomsMaxat Kulmanov, Robert Hoehndorf
Pageof 16

Showing results (1-10 of 152) with videos related to

Sort By:
Pageof 16
Bioinformatics (Oxford, England)|July 28, 2019
DeepGOPlus: improved protein function prediction from sequenceMaxat Kulmanov, Robert Hoehndorf
Journal of Biomedical Semantics|September 20, 2019
Ontology based mining of pathogen-disease associations from literatureŞenay Kafkas, Robert Hoehndorf
Database : the Journal of Biological Databases and Curation|February 28, 2019
Ontology based text mining of gene-phenotype associations: application to candidate gene predictionŞenay Kafkas, Robert Hoehndorf
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Computational prediction of protein functional annotationsMaxat Kulmanov, Robert Hoehndorf
Bioinformatics (Oxford, England)|November 14, 2018
Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypesMona Alshahrani, Robert Hoehndorf
Bioinformatics (Oxford, England)|July 28, 2021
DTI-Voodoo: machine learning over interaction networks and ontology-based background knowledge predicts drug-target interactionsTilman Hinnerichs, Robert Hoehndorf
Plos Computational Biology|November 18, 2020
DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifierMaxat Kulmanov, Robert Hoehndorf
Journal of Biomedical Semantics|February 15, 2017
Evaluating the effect of annotation size on measures of semantic similarityMaxat Kulmanov, Robert Hoehndorf
Bioinformatics (Oxford, England)|May 19, 2021
DeepGOPlus: improved protein function prediction from sequenceMaxat Kulmanov, Robert Hoehndorf
Bioinformatics (Oxford, England)|June 27, 2022
DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axiomsMaxat Kulmanov, Robert Hoehndorf
Pageof 16