| Comparison study of computational prediction tools for drug-target binding affinities M Thafar, AB Raies, S Albaradei, M Essack, VB Bajic Frontiers in chemistry 7, 782, 2019 | 87 | 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 | 77 | 2020 |
| Machine learning and deep learning methods that use omics data for metastasis prediction S Albaradei, M Thafar, A Alsaedi, C Van Neste, T Gojobori, M Essack, ... Computational and structural biotechnology journal 19, 5008-5018, 2021 | 55 | 2021 |
| Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA S Albaradei, A Magana-Mora, M Thafar, M Uludag, VB Bajic, T Gojobori, ... Gene 763, 100035, 2020 | 42 | 2020 |
| SenWave: Monitoring the global sentiments under the COVID-19 pandemic Q Yang, H Alamro, S Albaradei, A Salhi, X Lv, C Ma, M Alshehri, I Jaber, ... arXiv preprint arXiv:2006.10842, 2020 | 36 | 2020 |
| 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), 1-18, 2021 | 27 | 2021 |
| Hybrid model for efficient prediction of poly (A) signals in human genomic DNA F Albalawi, A Chahid, X Guo, S Albaradei, A Magana-Mora, BR Jankovic, ... Methods 166, 31-39, 2019 | 22 | 2019 |
| 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 | 18 | 2021 |
| Rise and fall of the global conversation and shifting sentiments during the COVID-19 pandemic X Zhang, Q Yang, S Albaradei, X Lyu, H Alamro, A Salhi, C Ma, ... Humanities and social sciences communications 8 (1), 1-10, 2021 | 16 | 2021 |
| Learning mid-level features from object hierarchy for image classification S Albaradei, Y Wang, L Cao, LJ Li IEEE Winter Conference on Applications of Computer Vision, 235-240, 2014 | 15 | 2014 |
| 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 | 13 | 2022 |
| Automated counting of colony forming units using deep transfer learning from a model for congested scenes analysis SA Albaradei, F Napolitano, M Uludag, M Thafar, S Napolitano, M Essack, ... IEEE Access 8, 164340-164346, 2020 | 10 | 2020 |
| Metastatic state of colorectal cancer can be accurately predicted with methylome S Albaradei, M Thafar, C Van Neste, M Essack, VB Bajic Proceedings of the 6th International Conference on Bioinformatics Research …, 2019 | 9 | 2019 |
| 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 | |
| Computational Drug-Target Interaction Prediction Based on Graph Embedding and Graph Mining VBB Maha A. Thafar, Somayah Albaradei, Rawan Olayan, Haitham Ashoor ... Proceedings of the 2020 10th International Conference on Bioscience …, 2020 | 8 | 2020 |
| Object classification using a semantic hierarchy S Albaradei, Y Wang Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las …, 2014 | 7 | 2014 |
| 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 12, 771092, 2021 | 6 | 2021 |
| MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data S Albaradei, A Albaradei, A Alsaedi, M Uludag, MA Thafar, T Gojobori, ... Frontiers in Molecular Biosciences 9, 913602, 2022 | 2 | 2022 |
| DTiGEMS+: Drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques. J Cheminfo 12 (1): 1–17 MA Thafar, RS Olayan, H Ashoor, S Albaradei, VB Bajic, X Gao, ... | 2 | 2020 |
| Huzhou University, Huzhou, China W Wang, X Song, SA Albaradei, Y Liu, W Yang Medical knowledge-assisted machine learning technologies in individualized …, 2023 | | 2023 |
