Author

Jixiang Yu

City University of Hong KongORCID 0000-0001-8163-3253Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:Hi-C· 1

Frequent Co-Authors

Fuzhou WangiD· 2 shared Ka‐Chun WongiD· 2 shared Lei HuangiD· 2 shared Weidun XieiD· 2 shared Xiangtao LiiD· 2 shared Hamid Alinejad‐RoknyiD· 1 shared Jiecong LiniD· 1 shared Lingkuan MengiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Fuzhou WangORCID

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2 papers

Recent·Most cited

BioinformaticsAdvanced SciencePeer-reviewedApr 24, 2025

Unveiling multi-scale architectural features in single-cell Hi-C data using scCAFE

Fuzhou Wang, Jiecong Lin, Hamid Alinejad‐Rokny…·Xiangtao Li

scCAFE is a deep learning model that detects multi-scale chromatin architectural features in single-cell Hi-C data, outperforming existing methods and enabling cell-type annotation from 3D genome features.

4 citations

Hi-Cdeep learning

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BioinformaticsbioRxivPreprintDec 4, 2024

Drug Response Modeling across Cancers: Proteomics vs. Transcriptomics

Zetian Zheng, Lei Huang, Fuzhou Wang…·Ka‐Chun Wong

This study compares proteomics and transcriptomics for drug response prediction in cancer cell lines, finding proteomics provides better performance.

2 citations

humanproteomics

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