Author

Junnan Zhu

Chinese Academy of SciencesORCID 0000-0002-9856-2946Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:mouse· 2 Research Focus:spatial domain detection· 2 Assay:spatial transcriptomics· 2 Approach:contrastive learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1

Frequent Co-Authors

Dongmin ZhaoiD· 4 shared Xingyi LiiD· 4 shared Xuequn ShangiD· 4 shared Jialuo XuiD· 3 shared Xiangting Jia· 3 shared Chunyan ZhouiD· 2 shared Gaoyuan Du· 2 shared Huihui KongiD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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4 shared papersBioinformatics

Dongmin ZhaoORCID

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Author profile →

4 papers

Recent·Most cited

Structure-aware deep learning predicts influenza antigenicity and guides vaccine strain recommendation

Xingyi Li, Chunyan Zhou, Kexin Xiao, Jialuo Xu, Xiangting Jia, Dongmin Zhao, Lei Chen, Yue Li, Jiajie Peng, Junnan Zhu, Yan Liu, Xuequn Shang, Huihui Kong

This paper introduces Vir3D, a structure-aware deep learning model that predicts influenza antigenicity and improves vaccine strain selection by incorporating 3D structural information from amino acid sequences.

bioRxiv · Aug 7, 2026 · PreprintBioinformatics

FluNexus: a versatile web platform for antigenic prediction and visualization of influenza A viruses

Xingyi Li, Chunyan Zhou, Han Wu, Kexin Xiao, Jun Hao, Dongmin Zhao, Guohua Deng, YJ Li, Jia Gu, Weigang Cai, Junnan Zhu, Jiajie Peng, Min Li, Liu Y, Xuequn Shang, , Huihui Kong

FluNexus provides a web platform for antigenic prediction and visualization of influenza A viruses, offering tools for data preprocessing, prediction, and visualization of antigenic evolution.

iMeta · Apr 1, 2026Peer-reviewedBioinformatics

A Multimodal Graph Learning Framework for Versatile Spatial Transcriptomics Analysis with SpatialModal

Xingyi Li, Dongmin Zhao, Xiangting Jia, Gaoyuan Du, Jialuo Xu, Qi Yang, Yiqi Chen, Yingfu Wu, Junnan Zhu, Wei Feng, Min Li, Xuequn Shang

SpatialModal integrates gene expression and histological images in spatial transcriptomics to improve spatial analysis and domain identification.

bioRxiv · May 11, 2025 · PreprintBioinformatics

Spatial geometry-aware deep learning for deciphering tissue structure from spatially resolved transcriptomics

Xingyi Li, Xiangting Jia, Dongmin Zhao, Jialuo Xu, Gaoyuan Du, Qi Yang, Yiqi Chen, Yingfu Wu, Junnan Zhu, Wei Feng, Xuequn Shang

SpatialGEO improves identification of spatial regions in spatial transcriptomics data and reveals biological insights in tumor microenvironments and mouse development.

bioRxiv · May 11, 2025 · PreprintBioinformatics