Author

Liang Hong

Chinese University of Hong Kong

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

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Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:batch correction / integration· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Autumn R. DeHartiD· 1 shared Dunpeng CaiiD· 1 shared Gretel Toloza‐AlvareziD· 1 shared Hong YueiD· 1 shared Huanlei HuangiD· 1 shared Huawen ZhongiD· 1 shared Irwin KingiD· 1 shared Jian ZhuangiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

Autumn R. DeHartORCID

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2 papers

Recent·Most cited

Thymidine Phosphorylase Promotes the Formation of Abdominal Aortic Aneurysm in Mice Fed a Western Diet

Liang Hong, Hong Yue, Dunpeng Cai, Autumn R. DeHart, Gretel Toloza‐Alvarez, Lili Du, Xianwu Zhou, Xiaoping Fan, Huanlei Huang, Shi‐You Chen, Shaik O. Rahaman, Jian Zhuang, Wei Li

This study shows that TYMP promotes abdominal aortic aneurysm (AAA) in mice fed a Western diet by enhancing inflammation, thrombosis, and MMP2 activation while inhibiting vascular smooth muscle cell function.

Cardiovascular Therapeutics · Jan 1, 2024Peer-reviewedCell Biology

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

Wenkai Han, Yuqi Cheng, Jiayang Chen, Huawen Zhong, Zhihang Hu, Siyuan Chen, Licheng Zong, Liang Hong, Ting‐Fung Chan, Irwin King, Xin Gao, Yu Li

CLEAR is a self-supervised contrastive learning framework for scRNA-seq that improves clustering, batch correction, and pseudo-time inference by reducing technical noise and heterogeneity.

Briefings in Bioinformatics · Aug 24, 2022Peer-reviewedBioinformatics