Author

KS Leung

Chinese University of Hong Kong

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Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Jinghan HuangiD· 1 shared Minghua DengiD· 1 shared Nelson L.S. TangiD· 1 shared Sheung Chi Phillip YamiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Jinghan HuangORCID

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1 paper

Recent·Most cited

Compositional data modeling of high-dimensional single cell RNA-seq (CoDA-hd): its advantages over commonly used normalization approaches

Jinghan Huang, Sheung Chi Phillip Yam, KS Leung, Minghua Deng, Nelson L.S. Tang

This paper introduces CoDA-hd, a compositional data analysis approach for scRNA-seq, showing its advantages in dimension reduction, clustering, and trajectory inference compared to log-normalization.

Journal of Translational Medicine · Oct 21, 2025Peer-reviewedBioinformatics