Ka-Chun Wong

Scopus Author ID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 38

Top Venues

Nature communications

Bioinformatics (Oxford, England)

Communications biology

Nucleic acids research

University of Toronto (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

University of Toronto Sep 01 2011 - Dec 31 2014

Canada

PHD :: Computer Science

Publications

Lei Huang, Tingyang Xu, Yang Yu, Peilin Zhao, Xingjian Chen, Jing Han, Zhi Xie, Hailong Li, Wenge Zhong, Ka-Chun Wong, Hengtong Zhang
A dual diffusion model enables 3D molecule generation and lead optimization based on target pockets. Nature communications 15 (1) (2024)
Nanjun Chen, Jixiang Yu, Zhe Liu, Lingkuan Meng, Xiangtao Li, Ka-Chun Wong
Discovering DNA shape motifs with multiple DNA shape features: generalization, methods, and validation. Nucleic acids research (2024)
Nanjun Chen, Jixiang Yu, Zhe Liu, Lingkuan Meng, Xiangtao Li, Ka-Chun Wong
Discovering DNA shape motifs with multiple DNA shape features: generalization, methods, and validation. Nucleic acids research 52 (8) (2024)
Nanjun Chen, Jixiang Yu, Zhe Liu, Lingkuan Meng, Xiangtao Li, Ka-Chun Wong
Discovering DNA shape motifs with multiple DNA shape features: generalization, methods, and validation. Nucleic acids research 52 (8) (2024)
Bin Zhang, Zilong Hou, Yuning Yang, Ka-Chun Wong, Haoran Zhu, Xiangtao Li
SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues. Communications biology 7 (1) (2024)
Nanjun Chen, Jixiang Yu, Zhe Liu, Lingkuan Meng, Xiangtao Li, Ka-Chun Wong
Discovering DNA shape motifs with multiple DNA shape features: generalization, methods, and validation. Nucleic acids research 52 (8) (2024)
Nanjun Chen, Jixiang Yu, Liu Zhe, Fuzhou Wang, Xiangtao Li, Ka-Chun Wong
TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation. Briefings in bioinformatics 25 (4) (2024)
Lingkuan Meng, Xingjian Chen, Ke Cheng, Nanjun Chen, Zetian Zheng, Fuzhou Wang, Hongyan Sun, Ka-Chun Wong
TransPTM: a transformer-based model for non-histone acetylation site prediction. Briefings in bioinformatics 25 (3) (2024)
Bin Zhang, Zilong Hou, Yuning Yang, Ka-Chun Wong, Haoran Zhu, Xiangtao Li
SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues. Communications biology 7 (1) (2024)
Lei Huang, Tingyang Xu, Yang Yu, Peilin Zhao, Xingjian Chen, Jing Han, Zhi Xie, Hailong Li, Wenge Zhong, Ka-Chun Wong, Hengtong Zhang
A dual diffusion model enables 3D molecule generation and lead optimization based on target pockets. Nature communications 15 (1) (2024)
Nanjun Chen, Jixiang Yu, Zhe Liu, Lingkuan Meng, Xiangtao Li, Ka-Chun Wong
Discovering DNA shape motifs with multiple DNA shape features: generalization, methods, and validation. Nucleic acids research 52 (8) (2024)
Xingjian Chen, Jiecong Lin, Yuchen Wang, Weitong Zhang, Weidun Xie, Zetian Zheng, Ka-Chun Wong
HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. Bioinformatics (Oxford, England) 40 (6) (2024)
Nanjun Chen, Jixiang Yu, Liu Zhe, Fuzhou Wang, Xiangtao Li, Ka-Chun Wong
TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation. Briefings in bioinformatics 25 (4) (2024)
Lei Huang, Tingyang Xu, Yang Yu, Peilin Zhao, Xingjian Chen, Jing Han, Zhi Xie, Hailong Li, Wenge Zhong, Ka-Chun Wong, Hengtong Zhang
A dual diffusion model enables 3D molecule generation and lead optimization based on target pockets. Nature communications 15 (1) (2024)
Xingjian Chen, Jiecong Lin, Yuchen Wang, Weitong Zhang, Weidun Xie, Zetian Zheng, Ka-Chun Wong
HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. Bioinformatics (Oxford, England) 40 (6) (2024)
Lingkuan Meng, Xingjian Chen, Ke Cheng, Nanjun Chen, Zetian Zheng, Fuzhou Wang, Hongyan Sun, Ka-Chun Wong
TransPTM: a transformer-based model for non-histone acetylation site prediction. Briefings in bioinformatics 25 (3) (2024)
Xingjian Chen, Jiecong Lin, Yuchen Wang, Weitong Zhang, Weidun Xie, Zetian Zheng, Ka-Chun Wong
HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. Bioinformatics (Oxford, England) 40 (6) (2024)
Bin Zhang, Zilong Hou, Yuning Yang, Ka-Chun Wong, Haoran Zhu, Xiangtao Li
SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues. Communications biology 7 (1) (2024)
Xingjian Chen, Jiecong Lin, Yuchen Wang, Weitong Zhang, Weidun Xie, Zetian Zheng, Ka-Chun Wong
HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. Bioinformatics (Oxford, England) 40 (6) (2024)
Yunhe Wang, Zhuohan Yu, Shaochuan Li, Chuang Bian, Yanchun Liang, Ka-Chun Wong, Xiangtao Li
scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering. Bioinformatics (Oxford, England) 39 (2) (2023)
Zilong Hou, Yuning Yang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning. Communications biology 6 (1) (2023)
Zilong Hou, Yuning Yang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning. Communications biology 6 (1) (2023)
Haoran Zhu, Yuning Yang, Yunhe Wang, Fuzhou Wang, Yujian Huang, Yi Chang, Ka-Chun Wong, Xiangtao Li
Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet. Nature communications 14 (1) (2023)
Zilong Hou, Yuning Yang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning. Communications biology 6 (1) (2023)
Zhuohan Yu, Yanchi Su, Yifu Lu, Yuning Yang, Fuzhou Wang, Shixiong Zhang, Yi Chang, Ka-Chun Wong, Xiangtao Li
Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA. Nature communications 14 (1) (2023)
Zhuohan Yu, Yanchi Su, Yifu Lu, Yuning Yang, Fuzhou Wang, Shixiong Zhang, Yi Chang, Ka-Chun Wong, Xiangtao Li
Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA. Nature communications 14 (1) (2023)
Zhuohan Yu, Yanchi Su, Yifu Lu, Yuning Yang, Fuzhou Wang, Shixiong Zhang, Yi Chang, Ka-Chun Wong, Xiangtao Li
Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA. Nature communications 14 (1) (2023)
Zilong Hou, Yuning Yang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning. Communications biology 6 (1) (2023)
Zhuohan Yu, Yanchi Su, Yifu Lu, Yuning Yang, Fuzhou Wang, Shixiong Zhang, Yi Chang, Ka-Chun Wong, Xiangtao Li
Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA. Nature communications 14 (1) (2023)
Yunhe Wang, Zhuohan Yu, Shaochuan Li, Chuang Bian, Yanchun Liang, Ka-Chun Wong, Xiangtao Li
scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering. Bioinformatics (Oxford, England) 39 (2) (2023)
Yifu Lu, Zhuohan Yu, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering. Bioinformatics (Oxford, England) 38 (11) (2022)
Yu Xie, Yuyang Zhang, Ka-Chun Wong, Meixia Shi, Chengbin Peng
Improving Chemical Reaction Prediction with Unlabeled Data. Molecules (Basel, Switzerland) 27 (18) (2022)
Yanchi Su, Fuzhou Wang, Shixiong Zhang, Yanchun Liang, Ka-Chun Wong, Xiangtao Li
scWMC: weighted matrix completion-based imputation of scRNA-seq data via prior subspace information. Bioinformatics (Oxford, England) 38 (19) (2022)
Xu Shen, Yuyang Zhang, Yu Xie, Ka-Chun Wong, Chengbin Peng
A Block-Based Adaptive Decoupling Framework for Graph Neural Networks. Entropy (Basel, Switzerland) 24 (9) (2022)
Weitong Zhang, Xingjian Chen, Ka-Chun Wong
Noninvasive early diagnosis of intestinal diseases based on artificial intelligence in genomics and microbiome. Journal of gastroenterology and hepatology 36 (4) (2021)
Ruiyang Song, Baixin Cao, Zhenling Peng, Christopher J Oldfield, Lukasz Kurgan, Ka-Chun Wong, Jianyi Yang
Accurate Sequence-Based Prediction of Deleterious nsSNPs with Multiple Sequence Profiles and Putative Binding Residues. Biomolecules 11 (9) (2021)
Linjing Liu, Xingjian Chen, Olutomilayo Olayemi Petinrin, Weitong Zhang, Saifur Rahaman, Zhi-Ri Tang, Ka-Chun Wong
Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey. Life (Basel, Switzerland) 11 (7) (2021)
Ka-Chun Wong
Big data challenges in genome informatics. Biophysical reviews 11 (1) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ka-Chun Wong