| Interpretation of deep learning in genomics and epigenomics A Talukder, C Barham, X Li, H Hu Briefings in Bioinformatics 22 (3), bbaa177, 2020 | 116 | 2020 |
| Computational annotation of miRNA transcription start sites S Wang, A Talukder, M Cha, X Li, H Hu Briefings in bioinformatics 22 (1), 380-392, 2021 | 42 | 2021 |
| EPIP: a novel approach for condition-specific enhancer–promoter interaction prediction A Talukder, S Saadat, X Li, H Hu Bioinformatics 35 (20), 3877-3883, 2019 | 35 | 2019 |
| Differential open chromatin profile and transcriptomic signature define depot-specific human subcutaneous preadipocytes: primary outcomes A Divoux, K Sandor, D Bojcsuk, A Talukder, X Li, BL Balint, TF Osborne, ... Clinical epigenetics 10 (1), 1-15, 2018 | 25 | 2018 |
| A systematic evaluation of the computational tools for lncRNA identification H Zheng, A Talukder, X Li, H Hu Briefings in Bioinformatics 22 (6), bbab285, 2021 | 15 | 2021 |
| A Deep Learning Method for MiRNA/IsomiR Target Detection A Talukder, W Zhang, X Li, H Hu Scientific Reports 12 (1), 10618, 2022 | 12 | 2022 |
| A two-stream convolutional neural network for microRNA transcription start site feature integration and identification M Cha, H Zheng, A Talukder, C Barham, X Li, H Hu Scientific Reports 11 (1), 5625, 2021 | 10 | 2021 |
| Position-wise binding preference is important for miRNA target site prediction A Talukder, X Li, H Hu Bioinformatics 36 (12), 3680-3686, 2020 | 9 | 2020 |
| An intriguing characteristic of enhancer-promoter interactions A Talukder, H Hu, X Li BMC genomics 22 (1), 1-13, 2021 | 5 | 2021 |
| OSApredictor: A tool for prediction of moderate to severe obstructive sleep apnea-hypopnea using readily available patient characteristics A Talukder, Y Li, D Yeung, M Shi, DM Umbach, Z Fan, L Li Computers in Biology and Medicine 178 (108777), 2024 | 2 | 2024 |
| Comparison of power spectra from overnight electroencephalography between patients with Down syndrome and matched control subjects A Talukder, D Yeung, Y Li, N Anandanadarajah, DM Umbach, Z Fan, L Li Journal of Sleep Research, 2024 | 2 | 2024 |
| Differences in brain spindle density during sleep between patients with and without type 2 diabetes D Yeung, A Talukder, M Shi, DM Umbach, Y Li, A Motsinger-Reif, ... Computers in Biology and Medicine 184, 109484, 2025 | 1 | 2025 |
| SSAVE: A Tool for Analysis and Visualization of Sleep Periods using Electroencephalography Data A Talukder, Y Li, D Yeung, DM Umbach, Z Fan, L Li Frontiers in Sleep 2, 2, 2023 | 1 | 2023 |
| Detection of movement and lead-popping artifacts in electroencephalography data from overnight polysomnography studies N Anandanadarajah, D Yeung, A Talukder, Y Li, DM Umbach, Z Fan, L Li Signals 5 (4), 690-704, 2024 | | 2024 |
| Differences in sleep spindle wave density between patients with diabetes mellitus and matched controls: implications for sensing and regulation of peripheral blood glucose D Yeung, A Talukder, M Shi, DM Umbach, Y Li, A Motsinger-Reif, Z Fan, ... medRxiv, 2024 | | 2024 |
| Comparison of overnight trends in relative power for specific frequency bands, sleep stages, and brain regions between patients with depressive disorder and matched control … L Li, A Talukder, D Yeung, Y Li, DM Umbach, J Gilmore, Z Fan In review, 2024 | | 2024 |
| Computational Study of Target Gene Interactions-Enhancers and microRNAs A Talukder University of Central Florida, 2021 | | 2021 |