Predicting COVID-19 infections and deaths in Bangladesh using Machine Learning Algorithms MI Leon, MI Iqbal, SM Azim, KA Al Mamun 2021 International Conference on Information and Communication Technology …, 2021 | 9 | 2021 |
A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation SM Azim, A Sharma, I Noshadi, S Shatabda, I Dehzangi Scientific reports 12 (1), 11451, 2022 | 7 | 2022 |
OriC-ENS: A sequence-based ensemble classifier for predicting origin of replication in S. cerevisiae SM Azim, MR Haque, S Shatabda Computational Biology and Chemistry 92, 107502, 2021 | 6 | 2021 |
Analysing and predicting coronavirus infections and deaths in Bangladesh using machine learning algorithms MI Iqbal, MI Leon, SM Azim, KA Mamun Available at SSRN 3671978, 2022 | 4 | 2022 |
DeepAmp: a convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation SM Azim, A Sharma, S Shatabda, A Dehzangi | 2 | 2021 |
Accurately predicting anticancer peptide using an ensemble of heterogeneously trained classifiers SM Azim, NHN Sabab, I Noshadi, H Alinejad-Rokny, A Sharma, ... Informatics in Medicine Unlocked 42, 101348, 2023 | | 2023 |
OriC-ENS: A sequence-based ensemble classifier for predicting origin of replication in S. cerevisiae SM Azim, MR Haque, S Shatabda Computational Biology and Chemistry 92, 107502, 2021 | | 2021 |