DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques
Thafar, Maha A., Olayan, Rawan S., Ashoor, Haitham, Albaradei, Somayah, Bajic, Vladimir B., Gao, Xin, Gojobori, Takashi, Essack, Magbubah
Published in Journal of cheminformatics (29.06.2020)
Published in Journal of cheminformatics (29.06.2020)
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Journal Article
A deep learning model predicts the presence of diverse cancer types using circulating tumor cells
Albaradei, Somayah, Alganmi, Nofe, Albaradie, Abdulrahman, Alharbi, Eaman, Motwalli, Olaa, Thafar, Maha A, Gojobori, Takashi, Essack, Magbubah, Gao, Xin
Published in Scientific reports (30.11.2023)
Published in Scientific reports (30.11.2023)
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Journal Article
Application and evaluation of knowledge graph embeddings in biomedical data
Alshahrani, Mona, Thafar, Maha A, Essack, Magbubah
Published in PeerJ. Computer science (18.02.2021)
Published in PeerJ. Computer science (18.02.2021)
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Journal Article
Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models
Albaradei, Somayah, Uludag, Mahmut, Thafar, Maha A., Gojobori, Takashi, Essack, Magbubah, Gao, Xin
Published in Frontiers in genetics (10.11.2021)
Published in Frontiers in genetics (10.11.2021)
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Journal Article
MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data
Albaradei, Somayah, Napolitano, Francesco, Thafar, Maha A., Gojobori, Takashi, Essack, Magbubah, Gao, Xin
Published in Computational and structural biotechnology journal (01.01.2021)
Published in Computational and structural biotechnology journal (01.01.2021)
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Journal Article
Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications
Alshahrani, Mona, Almansour, Abdullah, Alkhaldi, Asma, Thafar, Maha A, Uludag, Mahmut, Essack, Magbubah, Hoehndorf, Robert
Published in PeerJ (San Francisco, CA) (04.04.2022)
Published in PeerJ (San Francisco, CA) (04.04.2022)
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Journal Article
Identification of the ubiquitin–proteasome pathway domain by hyperparameter optimization based on a 2D convolutional neural network
Sikander, Rahu, Arif, Muhammad, Ghulam, Ali, Worachartcheewan, Apilak, Thafar, Maha A., Habib, Shabana
Published in Frontiers in genetics (22.07.2022)
Published in Frontiers in genetics (22.07.2022)
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Journal Article
MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data
Albaradei, Somayah, Albaradei, Abdurhman, Alsaedi, Asim, Uludag, Mahmut, Thafar, Maha A., Gojobori, Takashi, Essack, Magbubah, Gao, Xin
Published in Frontiers in molecular biosciences (22.07.2022)
Published in Frontiers in molecular biosciences (22.07.2022)
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Journal Article
Improving protein-protein interaction prediction using protein language model and protein network features
Hu, Jun, Li, Zhe, Rao, Bing, Thafar, Maha A., Arif, Muhammad
Published in Analytical biochemistry (01.10.2024)
Published in Analytical biochemistry (01.10.2024)
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Journal Article
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants
Ge, Fang, Li, Chen, Iqbal, Shahid, Muhammad, Arif, Li, Fuyi, Thafar, Maha A, Yan, Zihao, Worachartcheewan, Apilak, Xu, Xiaofeng, Song, Jiangning, Yu, Dong-Jun
Published in Briefings in bioinformatics (19.01.2023)
Published in Briefings in bioinformatics (19.01.2023)
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Journal Article
Meta Cancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data
Albaradei, Somayah, Napolitano, Francesco, Thafar, Maha A, Gojobori, Takashi, Essack, Magbubah, Gao, Xin
Published in Computational and structural biotechnology journal (2021)
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Published in Computational and structural biotechnology journal (2021)
Journal Article
An Abstract Model of Multimodal Fusion using Fuzzy Sets to Derive Interactive Emotions
Thafar, Maha A, Bansal, Arvind K
Published in Proceedings on the International Conference on Artificial Intelligence (ICAI) (01.01.2016)
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Published in Proceedings on the International Conference on Artificial Intelligence (ICAI) (01.01.2016)
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