CRISPRpred (SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning AH Muhammad Rafid, M Toufikuzzaman, MS Rahman, MS Rahman BMC bioinformatics 21, 1-13, 2020 | 32 | 2020 |
Phylogenetic Analyses of SARS-CoV-2 Strains Reveal Its Link to the Spread of COVID-19 Across the Globe S Sawmya, A Saha, S Tasnim, N Anjum, M Toufikuzzaman, AHM Rafid, ... MEDINFO 2021: One World, One Health–Global Partnership for Digital …, 2022 | 11* | 2022 |
CRISPR-DIPOFF: An Interpretable Deep Learning Approach for CRISPR Cas-9 Off-Target Prediction M Toufikuzzaman, MAH Samee, MS Rahman Briefings in Bioinformatics 25 (2), 2024 | 2 | 2024 |
Fault Occurrence Detection and Classification of Fault Type in Electrical Power Transmission Line with Machine Learning Algorithms. S Hasan, M Toufikuzzaman International Journal on Electrical Engineering & Informatics 14 (3), 2022 | 2 | 2022 |
Crispr CAS-9 off-target prediction with state-of-the-art deep learning techniques M Toufikuzzaman Department of Computer Science and Engineering (CSE), BUET, 2023 | | 2023 |
A Deep Learning Based Semi-Supervised Network Intrusion Detection System Robust to Adversarial Attacks SM Mukit Rashid, M Toufikuzzaman, MS Hossain 10th International Conference on Networking Systems and Security (NSysS), 25–34, 2023 | | 2023 |