Author

ChinWang Cheong

Hong Kong Baptist University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:imputation· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Aiping LüiD· 2 shared Lu ZhangiD· 2 shared William K. CheungiD· 2 shared Jiaxing CheniD· 1 shared Jiming LiuiD· 1 shared Ke XuiD· 1 shared Liang LaniD· 1 shared Werner Pieter VeldsmaniD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Aiping LüORCID

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2 papers

Recent·Most cited

Accurate and interpretable gene expression imputation on scRNA-seq data using IGSimpute

Ke Xu, ChinWang Cheong, Werner Pieter Veldsman, Aiping Lü, William K. Cheung, Lu Zhang

IGSimpute improves scRNA-seq data imputation with high accuracy and interpretability, outperforming existing methods on multiple tissues.

Briefings in Bioinformatics · Mar 16, 2023Peer-reviewedBioinformatics

DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data

Jiaxing Chen, ChinWang Cheong, Liang Lan, Xin Zhou, Jiming Liu, Aiping Lü, William K. Cheung, Lu Zhang

DeepDRIM is a deep neural network that reconstructs cell-type-specific gene regulatory networks from single-cell RNA-seq data, outperforming existing methods and distinguishing functional modules in COVID-19 patients.

Briefings in Bioinformatics · Jul 26, 2021Peer-reviewedBioinformatics