Author

William K. Cheung

Hong Kong Baptist UniversityORCID 0000-0002-7428-2050Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 3 Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 1 Research Focus:imputation· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Aiping LüiD· 3 shared Lu ZhangiD· 3 shared ChinWang Cheong· 2 shared Jiaxing CheniD· 2 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

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Aiping LüORCID

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3 papers

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedMar 16, 2023

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

Ke Xu, ChinWang Cheong, Werner Pieter Veldsman…·Lu Zhang

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

9 citations

𝕏 PostBluesky

BioinformaticsBriefings in BioinformaticsPeer-reviewedSep 3, 2022

dynDeepDRIM: a dynamic deep learning model to infer direct regulatory interactions using single cell time-course gene expression data

Yu Gong Xu, Jiaxing Chen, Aiping Lü…·Lu Zhang

dynDeepDRIM uses deep learning to predict direct regulatory interactions from single-cell time-course gene expression data, outperforming existing methods.

24 citations

scRNA-seqdeep learning

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BioinformaticsBriefings in BioinformaticsPeer-reviewedJul 26, 2021

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…·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.

87 citationstop 5%

𝕏 PostBluesky