| Comparison study of computational prediction tools for drug-target binding affinities MA Thafar, AB Raies, S Albaradei, M Essack, VB Bajic Frontiers in chemistry 7, 782, 2019 | 123 | 2019 |
| DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques MA Thafar, RS Olayan, H Ashoor, S Albaradei, VB Bajic, X Gao, ... Journal of Cheminformatics 12 (1), 1-17, 2020 | 115 | 2020 |
| Machine Learning and Deep Learning Methods that use Omics Data for Metastasis Prediction S Albaradei, MA Thafar, A Alsaedi, C Van Neste, T Gojobori, M Essack, ... Computational and Structural Biotechnology Journal, 2021 | 101 | 2021 |
| Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning MA Thafar, M Alshahrani, S Albaradei, T Gojobori, M Essack, X Gao Scientific reports 12 (1), 4751, 2022 | 53 | 2022 |
| DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning MA Thafar, RS Olayan, S Albaradei, VB Bajic, T Gojobori, M Essack, ... Journal of cheminformatics 13, 1-18, 2021 | 53 | 2021 |
| Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA S Albaradei, A Magana-Mora, MA Thafar, M Uludag, VB Bajic, T Gojobori, ... Gene: X, 100035, 2020 | 53 | 2020 |
| StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach M Arif, S Ahmed, F Ge, M Kabir, YD Khan, DJ Yu, M Thafar Chemometrics and Intelligent Laboratory Systems 220, 104458, 2022 | 45 | 2022 |
| Application and evaluation of knowledge graph embeddings in biomedical data M Alshahrani, MA Thafar, M Essack PeerJ Computer Science 7, e341, 2021 | 39 | 2021 |
| MetaCancer: a deep learning-based pan-cancer metastasis prediction model developed using multi-omics data S Albaradei, F Napolitano, MA Thafar, T Gojobori, M Essack, X Gao Computational and Structural Biotechnology Journal 19, 4404-4411, 2021 | 33 | 2021 |
| Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications M Alshahrani, A Almansour, A Alkhaldi, MA Thafar, M Uludag, M Essack, ... PeerJ 10, e13061, 2022 | 21* | 2022 |
| Towards Formal Multimodal Analysis of Emotions for Affective Computing. M Ghayoumi, MA Thafar, AK Bansal DMS, 48-54, 2016 | 20 | 2016 |
| Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets H Alamro, MA Thafar, S Albaradei, T Gojobori, M Essack, X Gao Scientific reports 13 (1), 4979, 2023 | 16 | 2023 |
| Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models S Albaradei, M Uludag, MA Thafar, T Gojobori, M Essack, X Gao Frontiers in genetics, 2217, 2021 | 13 | 2021 |
| Automated counting of colony forming units using deep transfer learning from a model for congested scenes analysis S Albaradei, F Napolitano, M Uludag, MA Thafar, S Napolitano, M Essack, ... IEEE Access, 2020 | 12 | 2020 |
| Computational Drug-target Interaction Prediction based on Graph Embedding and Graph Mining MA Thafar, S Albaradei, RS Olayan, H Ashoor, M Essack, VB Bajic 10th International Conference on Bioscience, Biochemistry and Bioinformatics …, 2020 | 12 | 2020 |
| VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants F Ge, C Li, S Iqbal, A Muhammad, F Li, MA Thafar, Z Yan, ... Briefings in Bioinformatics 24 (1), bbac535, 2023 | 10 | 2023 |
| Metastatic State of Colorectal Cancer can be Accurately Predicted with Methylome S Albaradei, MA Thafar, C Van Neste, M Essack, VB Bajic Proceedings of the 2019 6th International Conference on Bioinformatics …, 2019 | 10 | 2019 |
| A Formal Approach for Multimodal Integration to Derive Emotions M Ghayoumi, MA Thafar, AK Bansal Journal of Visual Languages and Sentient Systems, 48-54, 2016 | 10 | 2016 |
| Comparison study of computational prediction tools for drug-target binding affinities. Front Chem. 2019; 7: 782 M Thafar, AB Raies, S Albaradei, M Essack, VB Bajic | 9 | |
| Identification of the ubiquitin–proteasome pathway domain by hyperparameter optimization based on a 2D convolutional neural network R Sikander, M Arif, A Ghulam, A Worachartcheewan, MA Thafar, S Habib Frontiers in Genetics 13, 851688, 2022 | 8 | 2022 |
Somayah AlbaradeiPhDVerified email at kaust.edu.sa
