Author

Junchao Zhu

Chinese Academy of SciencesORCID 0000-0002-2576-5312Unclaimed 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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Approach:deep learning· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Luonan CheniD· 2 shared Baijun DongiD· 1 shared Chongyu QuiD· 1 shared Daguang XuiD· 1 shared Haichun YangiD· 1 shared Han WeniD· 1 shared Hao DaiiD· 1 shared Jiawei ZouiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Luonan ChenORCID

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3 papers

Recent·Most cited

Generating and navigating single cell dynamics via a geodesic bridge between nonlinear transcriptional and linear latent manifolds

Junchao Zhu, Zhenyi Zhang, Yuhao Sun, Hao Dai, Han Wen, Peijie Zhou, Luonan Chen

GeoBridge transforms sparse scRNA-seq data into a continuous landscape for reconstructing and navigating cellular state transitions.

bioRxiv · Apr 2, 2026 · PreprintBioinformatics

Computer Vision Methods for Spatial Transcriptomics: A Survey

Junchao Zhu, Ruining Deng, Junlin Guo, Tianyuan Yao, Siqi Lu, Chongyu Qu, Juming Xiong, Yanfei Zhu, Zhengyi Lu, Yuechen Yang, Marilyn Lionts, Yucheng Tang, Daguang Xu, Yu Wang, Shilin Zhao, , Yuankai Huo

This paper surveys computer vision methods for spatial transcriptomics, categorizing models and discussing challenges and future directions.

bioRxiv · Oct 13, 2025 · PreprintBioinformatics

UniCure: A Foundation Model for Predicting Personalized Cancer Therapy Response

Zexi Chen, Sai Tian, Jiazheng Pei, Ruichu Gu, Yongge Li, Shizhi Ding, Yaqian Xu, Xinlong Zheng, Miaoyu Liu, Xinxing Du, Junchao Zhu, Jiawei Zou, Jing Xu, Wenli Jiang, Ye Chen, , Luonan Chen

UniCure predicts personalized cancer therapy response by integrating omics and chemical models, achieving high accuracy in drug response and combination effects across diverse data.

bioRxiv · Jun 14, 2025 · PreprintBioinformatics