DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier M Kulmanov, MA Khan, R Hoehndorf Bioinformatics 34 (4), 660-668, 2017 | 430 | 2017 |
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20, 1-23, 2019 | 358 | 2019 |
DeepGOPlus: Improved protein function prediction from sequence M Kulmanov, R Hoehndorf Bioinformatics 36 (2), 422–429, 2020 | 356 | 2020 |
The role of ontologies in biological and biomedical research: a functional perspective R Hoehndorf, PN Schofield, GV Gkoutos Briefings in bioinformatics 16 (6), 1069-1080, 2015 | 322 | 2015 |
Text-mining solutions for biomedical research: enabling integrative biology D Rebholz-Schuhmann, A Oellrich, R Hoehndorf Nature Reviews Genetics 13 (12), 829-839, 2012 | 275 | 2012 |
FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration DM Dooley, EJ Griffiths, GS Gosal, PL Buttigieg, R Hoehndorf, MC Lange, ... npj Science of Food 2 (1), 23, 2018 | 260 | 2018 |
The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery M Dumontier, CJO Baker, J Baran, A Callahan, L Chepelev, ... Journal of biomedical semantics 5, 1-11, 2014 | 251 | 2014 |
PhenomeNET: a whole-phenome approach to disease gene discovery R Hoehndorf, PN Schofield, GV Gkoutos Nucleic acids research 39 (18), e119-e119, 2011 | 243 | 2011 |
Semantic similarity and machine learning with ontologies. M Kulmanov, FZ Smaili, X Gao, R Hoehndorf Briefings in Bioinformatics, 2020 | 180* | 2020 |
Neuro-symbolic representation learning on biological knowledge graphs M Alshahrani, MA Khan, O Maddouri, AR Kinjo, N Queralt-Rosinach, ... Bioinformatics 33 (17), 2723-2730, 2017 | 168 | 2017 |
Opa2vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction FZ Smaili, X Gao, R Hoehndorf Bioinformatics 35 (12), 2133-2140, 2018 | 153 | 2018 |
Semi-supervised entity alignment via knowledge graph embedding with awareness of degree difference S Pei, L Yu, R Hoehndorf, X Zhang The world wide web conference, 3130-3136, 2019 | 146 | 2019 |
Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics M Hrabě de Angelis, G Nicholson, M Selloum, JK White, H Morgan, ... Nature genetics 47 (9), 969-978, 2015 | 145 | 2015 |
General Formal Ontology (GFO): A foundational ontology integrating objects and processes H Herre, B Heller, P Burek, R Hoehndorf, F Loebe, H Michalek Onto-Med Report 8, 53, 2006 | 130 | 2006 |
Onto2Vec: joint vector-based representation of biological entities and their ontology-based annotations FZ Smaili, X Gao, R Hoehndorf Bioinformatics 34 (13), i52–i60, 2018 | 129 | 2018 |
The Units Ontology: a tool for integrating units of measurement in science GV Gkoutos, PN Schofield, R Hoehndorf Database 2012, bas033, 2012 | 125 | 2012 |
Analysis of the human diseasome using phenotype similarity between common, genetic and infectious diseases R Hoehndorf, PN Schofield, GV Gkoutos Scientific reports 5 (1), 1-14, 2015 | 113 | 2015 |
Evaluation of research in biomedical ontologies R Hoehndorf, M Dumontier, GV Gkoutos Briefings in bioinformatics 14 (6), 696-712, 2013 | 113 | 2013 |
Aber-OWL: a framework for ontology-based data access in biology R Hoehndorf, L Slater, PN Schofield, GV Gkoutos BMC bioinformatics 16, 1-9, 2015 | 110 | 2015 |
EL Embeddings: Geometric construction of models for the Description Logic EL++ M Kulmanov, W Liu-Wei, Y Yan, R Hoehndorf Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 108 | 2019 |