| Semantic similarity and machine learning with ontologies. M Kulmanov, FZ Smaili, X Gao, R Hoehndorf Briefings in Bioinformatics, 2020 | 204 | 2020 |
| Opa2vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction FZ Smaili, X Gao, R Hoehndorf Bioinformatics, 2019 | 171 | 2019 |
| 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 | 149 | 2018 |
| Formal axioms in biomedical ontologies improve analysis and interpretation of associated data FZ Smaili, X Gao, R Hoehndorf Bioinformatics, 2019 | 29 | 2019 |
| Machine learning with biomedical ontologies M Kulmanov, FZ Smaili, X Gao, R Hoehndorf biorxiv, 2020.05. 07.082164, 2020 | 27 | 2020 |
| QAUST: protein function prediction using structure similarity, protein interaction, and functional motifs FZ Smaili, S Tian, A Roy, M Alazmi, ST Arold, S Mukherjee, PS Hefty, ... Genomics, proteomics & bioinformatics 19 (6), 998-1011, 2021 | 25 | 2021 |
| A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology Y He, H Yu, A Huffman, AY Lin, DA Natale, J Beverley, L Zheng, Y Perl, ... Journal of biomedical semantics 13 (1), 25, 2022 | 19 | 2022 |
| Machine learning with biomedical ontologies. biorxiv M Kulmanov, FZ Smaili, X Gao, R Hoehndorf Chap. New Results, 2020 | 5 | 2020 |
| Design and Use of Semantic Resources: Findings from the Section on Knowledge Representation and Management of the 2020 International Medical Informatics Association Yearbook F Dhombres, J Charlet Yearbook of medical informatics 29 (01), 163-168, 2020 | 4 | 2020 |
| Machine learning with biomedical ontologies. bioRxiv, 2020–0507082164 (2020) M Kulmanov, FZ Smaili, X Gao, R Hoehndorf Chap. New Results. doi 10 (2020.05), 07.082164, 0 | 4 | |
| Machine learning models for biomedical ontology integration and analysis FZ Smaili | 1 | 2020 |
| Self-normalizing learning on biomedical ontologies using a deep Siamese neural network FZ Smaili, X Gao, R Hoehndorf bioRxiv, 2020.04. 23.057117, 2020 | 1 | 2020 |
| bio-ontology-research-group/machine-learning-with-ontologies M Kulmanov, FZ Smaili, X Gao, R Hoehndorf Github, 2020 | | 2020 |
| Ontology-based Representations of Biological Entities F Zohra Smaili, X Gao, R Hoehndorh | | 2020 |
| Ontology-based Vector Representations of Biological Entities F Zohra Smaili, X Gao, R Hoehndorf | | 2019 |
| bio-ontology-research-group/tsoe: Task Specific Ontology Evaluation FZ Smaili, X Gao, R Hoehndorf Github, 2019 | | 2019 |
| Supplementary Materials: Formal axioms in biomedical ontologies improve analysis and interpretation of associated data FZ Smaili, X Gao, R Hoehndorf | | 2019 |
| OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction F Zohra Smaili, X Gao, R Hoehndorf arXiv e-prints, arXiv: 1804.10922, 2018 | | 2018 |
| bio-ontology-research-group/onto2vec: Representation learning for ontologies and their annotations FZ Smaili, X Gao, R Hoehndorf Github, 2018 | | 2018 |
| Protein Function Prediction Based on Sequence and Structure Information FZ Smaili | | 2016 |
Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research CenterCorreu electrònic verificat a kaust.edu.sa