Multistage feature selection approach for high-dimensional cancer data A Alkuhlani, M Nassef, I Farag Soft Computing 21, 6895-6906, 2017 | 41 | 2017 |
Pustackngly: positive-unlabeled and stacking learning for n-linked glycosylation site prediction A Alkuhlani, W Gad, M Roushdy, ABM Salem IEEE Access 10, 12702-12713, 2022 | 16 | 2022 |
Intelligent techniques analysis for glycosylation site prediction A Alkuhlani, W Gad, M Roushdy, ABM Salem Current Bioinformatics 16 (6), 774-788, 2021 | 9 | 2021 |
PTG-PLM: Predicting post-translational glycosylation and glycation sites using protein language models and deep learning A Alkuhlani, W Gad, M Roushdy, MG Voskoglou, AM Salem Axioms 11 (9), 469, 2022 | 8 | 2022 |
GNNGLY: Graph Neural Networks for Glycan Classification A Alkuhlani, W Gad, M Roushdy, ABM Salem IEEE Access 11, 51838-51847, 2023 | 5 | 2023 |
Prediction Of O-Glycosylation Site Using Pre-Trained Language Model And Machine Learning A Alkuhlani, W Gad, MI Roushdy, ABM Salem International Journal of Intelligent Computing and Information Sciences 23 …, 2023 | 3 | 2023 |
Artificial Intelligence for Glycation Site Prediction A Alkuhlani, W Gad, M Roushdy, ABM Salem IEICE Proc. Ser 64, 2021 | 3 | 2021 |
A comparative study of feature selection and classification techniques for high-throughput DNA methylation data A Alkuhlani, M Nassef, I Farag Proceedings of the International Conference on Advanced Intelligent Systems …, 2017 | 1 | 2017 |
O-glycosylation Site Prediction Using Randome Forest Importance and Support Vector Machine A Alkuhlani, W Gad, M Roushdy, MS Abdel-badeeh 2022 IEEE 3rd International Conference on System Analysis & Intelligent …, 2022 | | 2022 |