| predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance SA Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, Md Khaled Ben Islam ... PLOS ONE 16 (4), e0249396, 2021 | 11 | 2021 |
| predML-site: predicting multiple lysine PTM sites with optimal feature representation and data imbalance minimization S Ahmed, A Rahman, MAM Hasan, J Rahman, MKB Islam, S Ahmad IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2021 | 10 | 2021 |
| Computational identification of multiple lysine PTM sites by analyzing the instance hardness and feature importance S Ahmed, A Rahman, MAM Hasan, S Ahmad, SM Shovan Scientific Reports 11 (1), 18882, 2021 | 8 | 2021 |
| Accurately predicting nitrosylated tyrosine sites using probabilistic sequence information A Rahman, S Ahmed, MAM Hasan, S Ahmad, I Dehzangi Gene 826, 146445, 2022 | 3 | 2022 |
| Prediction of formylation sites by incorporating sequence coupling into general PseAAC A Rahman, S Ahmed, J Rahman, MAM Hasan 2020 IEEE Region 10 Symposium (TENSYMP), 921-924, 2020 | 3 | 2020 |
Afrida RahmanGraduate Student of Computer Science & Engineering, Rajshahi University of Engineering在 student.ruet.ac.bd 的电子邮件经过验证
