Maha A. Thafar
Orcid: 0000-0003-0539-7361
According to our database1,
Maha A. Thafar
authored at least 8 papers
between 2019 and 2023.
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Bibliography
2023
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants.
Briefings Bioinform., January, 2023
2022
Drug Repositioning through the Development of Diverse Computational Methods using Machine Learning, Deep Learning, and Graph Mining.
PhD thesis, 2022
2021
PeerJ Comput. Sci., 2021
DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning.
J. Cheminformatics, 2021
2020
DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques.
J. Cheminformatics, 2020
Automated Counting of Colony Forming Units Using Deep Transfer Learning From a Model for Congested Scenes Analysis.
IEEE Access, 2020
Computational Drug-target Interaction Prediction based on Graph Embedding and Graph Mining.
Proceedings of the ICBBB 2020: 10th International Conference on Bioscience, 2020
2019
Proceedings of the ICBRA '19: 6th International Conference on Bioinformatics Research and Applications, 2019