Ka-Chun Wong, Ph.D.
Affiliations: | 2011-2014 | Computer Science | University of Toronto, Toronto, ON, Canada |
Area:
Bioinformatics, Computational Biology, Data Science, OptimizationWebsite:
http://www.cs.utoronto.ca/~wkc/Google:
"Ka-Chun Wong"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Man-Hon Wong | grad student | 2008-2010 | CUHK |
| ZhaoLei Zhang | grad student | 2011-2014 | University of Toronto |
Children
Sign in to add trainee| Shankai Yan | grad student | 2015-2018 | City University of Hong Kong |
| Junyi Chen | grad student | 2017-2020 | City University of Hong Kong |
| Shixiong Zhang | grad student | 2017-2020 | City University of Hong Kong |
| Jiecong Lin | grad student | 2017-2021 | City University of Hong Kong |
Collaborators
Sign in to add collaborator| Xiangtao Li | collaborator | 2016- | City University of Hong Kong |
| Qiuzhen Lin | collaborator | 2016- | City University of Hong Kong |
| Jiao Zhang | collaborator | 2015-2018 | City University of Hong Kong |
BETA: Related publications
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Publications
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| Su Y, Yu Z, Yang Y, et al. (2024) Distribution-Agnostic Deep Learning Enables Accurate Single-Cell Data Recovery and Transcriptional Regulation Interpretation. Advanced Science (Weinheim, Baden-Wurttemberg, Germany). e2307280 |
| Liu Z, Wong HM, Chen X, et al. (2023) MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm. Computers in Biology and Medicine. 168: 107753 |
| Xie W, Chen X, Zheng Z, et al. (2023) LncRNA-Top: Controlled deep learning approaches for lncRNA gene regulatory relationship annotations across different platforms. Iscience. 26: 108197 |
| Sun P, Fan S, Li S, et al. (2023) Automated exploitation of deep learning for cancer patient stratification across multiple types. Bioinformatics (Oxford, England). 39 |
| Zhu H, Yang Y, Wang Y, et al. (2023) Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet. Nature Communications. 14: 6824 |
| Wang F, Alinejad-Rokny H, Lin J, et al. (2023) A Lightweight Framework For Chromatin Loop Detection at the Single-Cell Level. Advanced Science (Weinheim, Baden-Wurttemberg, Germany). e2303502 |
| Toseef M, Olayemi Petinrin O, Wang F, et al. (2023) Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results. Briefings in Bioinformatics. 24 |
| Fan Y, Wang Y, Wang F, et al. (2023) Reliable Identification and Interpretation of Single-Cell Molecular Heterogeneity and Transcriptional Regulation using Dynamic Ensemble Pruning. Advanced Science (Weinheim, Baden-Wurttemberg, Germany). e2205442 |
| Petinrin OO, Saeed F, Toseef M, et al. (2023) Machine learning in metastatic cancer research: Potentials, possibilities, and prospects. Computational and Structural Biotechnology Journal. 21: 2454-2470 |
| Zheng Z, Chen J, Chen X, et al. (2023) Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD. Advanced Science (Weinheim, Baden-Wurttemberg, Germany). e2204113 |