Author

Zhaozheng Hou

University of Hong KongORCID 0000-0001-8548-2798Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Dora Lai‐Wan KwongiD· 2 shared Victor Ho-Fun LeeiD· 2 shared Wei DaiiD· 2 shared Zhonghua LiuiD· 2 shared Xin‐Yuan GuaniD· 1 shared Xinyuan GuaniD· 1 shared Yijia Qian· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 19 mutual co-author links

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2 shared papersCancer Biology

Dora Lai‐Wan KwongORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJul 3, 2026

Foundation Model RNAGAN Enhances Biomedical Insight of Nasopharyngeal Carcinoma Metastasis

Zhaozheng Hou, Yijia Qian, Victor Ho-Fun Lee…·Wei Dai

This study applies the RNAGAN foundation model to nasopharyngeal carcinoma to identify metastasis markers and mechanisms, revealing a protective role of adaptive immune responses over innate inflammation.

DOI 10.64898/2026.07.02.736240

humanscRNA-seq

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BioinformaticsbioRxivPreprintMar 20, 2026

RNAGAN: Train One and Get Four, Multipurpose Human RNA-Seq Analysis Tool with Enhanced Interpretability and Small Data Size Capability

Zhaozheng Hou, Victor Ho-Fun Lee, Dora Lai‐Wan Kwong…·Wei Dai

RNAGAN is an AI tool that enhances transcriptomic analysis with interpretability and small data capability through a GAN structure trained on human RNA-seq data.

1 citation

humanbulk RNA-seq

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