Amarda Shehu
George Mason University
H-index: 31
North America-United States
Top articles of Amarda Shehu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Advancing Transcription Factor Binding Site Prediction Using DNA Breathing Dynamics and Sequence Transformers via Cross Attention | bioRxiv | Anowarul Kabir Manish Bhattarai Kim Ø Rasmussen Amarda Shehu Alan R Bishop | 2024/1/20 |
Elucidating the Role of Wildtype and Variant FGFR2 Structural Dynamics in (Dys) Function and Disorder | International Journal of Molecular Sciences | Yiyang Lian Dale Bodian Amarda Shehu | 2024/1 |
Beyond Single-Model Views for Deep Learning: Optimization versus Generalizability of Stochastic Optimization Algorithms | arXiv preprint arXiv:2403.00574 | Toki Tahmid Inan Mingrui Liu Amarda Shehu | 2024/3/1 |
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization | Advances in Neural Information Processing Systems | Yajie Bao Amarda Shehu Mingrui Liu | 2024/2/13 |
Examining DNA breathing with pyDNA-EPBD | Bioinformatics | Anowarul Kabir Manish Bhattarai Kim Ø Rasmussen Amarda Shehu Anny Usheva | 2023/11/1 |
Structure-and Energy-based Analysis of Small Molecule Ligand Binding to Steroid Nuclear Receptors | Megan Herceg Amarda Shehu | 2023/9/3 | |
A Comparative Analysis of Transformer-based Protein Language Models for Remote Homology Prediction | Anowarul Kabir Asher Moldwin Amarda Shehu | 2023/9/3 | |
Analysis of AlphaFold2 for Modeling Structures of Wildtype and Variant Protein Sequences | EPiC Series in Computing | Anowarul Kabir Toki Inan Amarda Shehu | 2022/3 |
Pavement distress recognition via wavelet-based clustering of smartphone accelerometer data | Journal of Computing in Civil Engineering | Parastoo Kamranfar David Lattanzi Amarda Shehu Shelley Stoffels | 2022/7/1 |
GOProFormer: a multi-modal transformer method for gene ontology protein function prediction | Biomolecules | Anowarul Kabir Amarda Shehu | 2022/11/18 |
Generation and Characterization of Quaternary Ammonium Compounds via Deep Learning | Yinkai Wang Shiva Ghaemi Aowei Ding Yuanqui Du Bo Pan | 2022/12/6 | |
Space partitioning and regression maxima seeking via a mean-shift-inspired algorithm | Electronic Journal of Statistics | Wanli Qiao Amarda Shehu | 2022 |
Data size and quality matter: generating physically-realistic distance maps of protein tertiary structures | Biomolecules | Fardina Fathmiul Alam Amarda Shehu | 2022/6/29 |
Single Model Quality Estimation of Protein Structures via Non-negative Tensor Factorization | Computational Advances in Bio and Medical Sciences: 11th International Conference, ICCABS 2021, Virtual Event, December 16–18, 2021, Revised Selected Papers | Amarda Shehu | 2022/10/18 |
Property-Controllable Generation of Quaternary Ammonium Compounds | Bo Pan Yinkai Wang Xuanyang Lin Muran Qin Yuanqi Du | 2022/12/6 | |
Interpretable molecular graph generation via monotonic constraints | Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao | 2022/4 | |
Transformer neural networks attending to both sequence and structure for protein prediction tasks | arXiv preprint arXiv:2206.11057 | Anowarul Kabir Amarda Shehu | 2022/6/17 |
Multiple instance learning for detecting anomalies over sequential real-world datasets | arXiv preprint arXiv:2210.01707 | Parastoo Kamranfar David Lattanzi Amarda Shehu Daniel Barbará | 2022/10/4 |
Equivariant encoding based gvae (eqen-gvae) for protein tertiary structure generation | Taseef Rahman Fardina Fathmiul Alam Amarda Shehu | 2022/12/6 | |
Graph neural networks in predicting protein function and interactions | Graph Neural Networks: Foundations, Frontiers, and Applications | Anowarul Kabir Amarda Shehu | 2022 |
Co-Authors
