| Improving and evaluating deep learning models of cellular organization H Sun, X Fu, S Abraham, S Jin, RF Murphy Bioinformatics 38 (23), 5299-5306, 2022 | 7 | 2022 |
| Expanding the coverage of spatial proteomics: a machine learning approach H Sun, J Li, RF Murphy Bioinformatics 40 (2), btae062, 2024 | 6* | 2024 |
| A MEMS variable optical attenuator with ultra-low wavelength-dependent loss and polarization-dependent loss H Sun, W Zhou, Z Zhang, Z Wan Micromachines 9 (12), 632, 2018 | 5 | 2018 |
| Evaluation of categorical matrix completion algorithms: toward improved active learning for drug discovery H Sun, RF Murphy Bioinformatics 37 (20), 3538-3545, 2021 | 4* | 2021 |
| Learning Morphological, Spatial, and Dynamic Models of Cellular Components H Sun, RF Murphy Imaging Cell Signaling, 231-244, 2024 | | 2024 |
| Basal body organization and cell geometry during the cell cycle in Tetrahymena thermophila H Sun, AWJ Soh, LE Mitchell, CG Pearson, RF Murphy Molecular Biology of the Cell 34 (6), ar53, 2023 | | 2023 |
Robert F. MurphyProfessor of Computational Biology Emeritus, Carnegie Mellon UniversityVerified email at cmu.edu
