| Ontology-based prediction of cancer driver genes S Althubaiti, A Karwath, A Dallol, A Noor, SS Alkhayyat, R Alwassia, ... Scientific reports 9 (1), 17405, 2019 | 27 | 2019 |
| Combining lexical and context features for automatic ontology extension S Althubaiti, Ş Kafkas, M Abdelhakim, R Hoehndorf Journal of biomedical semantics 11, 1-13, 2020 | 21 | 2020 |
| DeepMOCCA: A pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integration S Althubaiti, M Kulmanov, Y Liu, GV Gkoutos, P Schofield, R Hoehndorf BioRxiv, 2021.03. 02.433454, 2021 | 9 | 2021 |
| Linking common human diseases to their phenotypes; development of a resource for human phenomics Ş Kafkas, S Althubaiti, GV Gkoutos, R Hoehndorf, PN Schofield Journal of biomedical semantics 12, 1-15, 2021 | 8 | 2021 |
| Multimodal Data integration with Leveraging Background Knowledge for Cancer Survival Prediction S Althubaiti | | 2022 |
| CAN-VP: CANcer Variant Prioritization S Althubaiti, G Gkoutos, R Hoehndorf | | 2020 |
| Variants Prioritization in Cancer: Understanding and Predicting Cancer Driver Genes and Mutations S Althubaiti | | 2018 |
| bio-ontology-research-group/ontology-extension: Combining lexical and context features for automatic ontology extension S Althubaiti, S Kafkas, M Abdelhakim, R Hoehndorf Github, 2018 | | 2018 |
