Maha A. Thafar

Orcid: 0000-0003-0539-7361

According to our database1, Maha A. Thafar authored at least 8 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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
Application and evaluation of knowledge graph embeddings in biomedical data.
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
Metastatic State of Colorectal Cancer can be Accurately Predicted with Methylome.
Proceedings of the ICBRA '19: 6th International Conference on Bioinformatics Research and Applications, 2019


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