| Transcriptional regulation of a metastasis suppressor gene by Tip60 and β-catenin complexes JH Kim, B Kim, L Cai, HJ Choi, KA Ohgi, C Tran, C Chen, CH Chung, ... Nature 434 (7035), 921-926, 2005 | 377 | 2005 |
| Negative regulation of hypoxic responses via induced Reptin methylation JS Lee, Y Kim, IS Kim, B Kim, HJ Choi, JM Lee, HJR Shin, JH Kim, JY Kim, ... Molecular cell 39 (1), 71-85, 2010 | 194 | 2010 |
| Roles of sumoylation of a reptin chromatin-remodelling complex in cancer metastasis JH Kim, HJ Choi, B Kim, MH Kim, JM Lee, IS Kim, MH Lee, SJ Choi, ... Nature Cell Biology 8 (6), 631-639, 2006 | 191 | 2006 |
| SUMOylation of pontin chromatin-remodeling complex reveals a signal integration code in prostate cancer cells JH Kim, JM Lee, HJ Nam, HJ Choi, JW Yang, JS Lee, MH Kim, SI Kim, ... Proceedings of the National Academy of Sciences 104 (52), 20793-20798, 2007 | 83 | 2007 |
| Deep transfer learning-based hologram classification for molecular diagnostics SJ Kim, C Wang, B Zhao, H Im, J Min, HJ Choi, J Tadros, NR Choi, ... Scientific reports 8 (1), 17003, 2018 | 75 | 2018 |
| Bcl3-dependent stabilization of CtBP1 is crucial for the inhibition of apoptosis and tumor progression in breast cancer HJ Choi, JM Lee, H Kim, HJ Nam, HJR Shin, D Kim, E Ko, DY Noh, KI Kim, ... Biochemical and biophysical research communications 400 (3), 396-402, 2010 | 53 | 2010 |
| Sumoylation and Its Contribution to Cancer JS Lee, HJ Choi, SH Baek SUMO Regulation of Cellular Processes, 283-298, 2017 | 45 | 2017 |
| Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imaging C Wang, HJ Choi, SJ Kim, A Desai, N Lee, D Kim, Y Bae, K Lee Nature communications 9, 2018 | 29 | 2018 |
| Co-option of neurotransmitter signaling for inter-organismal communication in C. elegans CD Chute, EM DiLoreto, YK Zhang, DK Reilly, D Rayes, VL Coyle, ... Nature communications 10 (1), 1-13, 2019 | 26 | 2019 |
| A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy J Jang, C Wang, X Zhang, HJ Choi, X Pan, B Lin, Y Yu, C Whittle, M Ryan, ... Cell reports methods 1 (7), 100105, 2021 | 18 | 2021 |
| Emerging machine learning approaches to phenotyping cellular motility and morphodynamics HJ Choi, C Wang, X Pan, J Jang, M Cao, J Brazzo, Y Bae, K Lee Physical Biology, 2021 | 18 | 2021 |
| Deep learning pipeline for cell edge segmentation of time-lapse live cell images C Wang, X Zhang, HJ Choi, B Lin, Y Yu, C Whittle, M Ryan, Y Chen, K Lee bioRxiv, 191858, 2019 | 7 | 2019 |
| Deep learning-based subcellular phenotyping of protrusion dynamics reveals fine differential drug responses at subcellular and single-cell levels C Wang, HJ Choi, LS Woodbury, K Lee Biophysical Journal 121 (3), 529a, 2022 | 4 | 2022 |
| Sumoylation and its contribution to cancer JS Lee, HJ Choi, SH Baek SUMO Regulation of Cellular Processes, 2009 | 3 | 2009 |
| Deep Learning-based Subcellular Phenotyping of Protrusion Dynamics Reveals Fine Differential Drug Responses at Subcellular and Single-Cell Levels C Wang, HJ Choi, L Woodbury, K Lee bioRxiv, 2021 | | 2021 |
| MARS-Net: Deep learning-based segmentation pipeline for profiling cellular morphodynamics from multiple types of live cell microscopy J Jang, C Wang, X Zhang, HJ Choi, X Pan, B Lin, Y Yu, C Whittle, M Ryan, ... bioRxiv, 191858, 2021 | | 2021 |
| Subcellular Time Series Modeling of Heterogeneous Cell Protrusion Y Kim, HJ Choi, K Lee bioRxiv, 429118, 2018 | | 2018 |
| Edge Detection of Cryptic Lamellipodia Assisted by Deep Learning C Wang, S Kang, E Kim, X Zhang, HJ Choi, A Choi, K Lee bioRxiv, 181263, 2017 | | 2017 |
