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ORCIDMaha A. Thafar
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2020 – today
- 2023
[j5]Fang Ge, Chen Li
, Shahid Iqbal, Muhammad Arif, Fuyi Li, Maha A. Thafar, Zihao Yan, Apilak Worachartcheewan, Xiaofeng Xu, Jiangning Song, Dong-Jun Yu:
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants. Briefings Bioinform. 24(1) (2023)- 2022
- [b1]Maha A. Thafar:
Drug Repositioning through the Development of Diverse Computational Methods using Machine Learning, Deep Learning, and Graph Mining. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 2022 - 2021
- [j4]Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajic, Takashi Gojobori, Magbubah Essack, Xin Gao:
DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning. J. Cheminformatics 13(1): 71 (2021) - [j3]Mona Alshahrani, Maha A. Thafar, Magbubah Essack:
Application and evaluation of knowledge graph embeddings in biomedical data. PeerJ Comput. Sci. 7: e341 (2021) - 2020
- [j2]Somayah Albaradei, Francesco Napolitano, Mahmut Uludag, Maha A. Thafar, Sara Napolitano, Magbubah Essack, Vladimir B. Bajic, Xin Gao:
Automated Counting of Colony Forming Units Using Deep Transfer Learning From a Model for Congested Scenes Analysis. IEEE Access 8: 164340-164346 (2020) - [j1]Maha A. Thafar, Rawan S. Olayan, Haitham Ashoor, Somayah Albaradei, Vladimir B. Bajic, Xin Gao, Takashi Gojobori, Magbubah Essack:
DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques. J. Cheminformatics 12(1): 44 (2020) - [c2]Maha A. Thafar, Somayah Albaradei, Rawan S. Olayan, Haitham Ashoor, Magbubah Essack, Vladimir B. Bajic:
Computational Drug-target Interaction Prediction based on Graph Embedding and Graph Mining. ICBBB 2020: 14-21
2010 – 2019
- 2019
- [c1]Somayah Albaradei, Maha A. Thafar, Christophe Van Neste, Magbubah Essack, Vladimir B. Bajic:
Metastatic State of Colorectal Cancer can be Accurately Predicted with Methylome. ICBRA 2019: 125-130
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