Author

Pengzhen Jia

Central South University

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:spatial transcriptomics· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Approach:large language model· 1 Organism:mouse· 1 Assay:protein sequence· 1

Frequent Co-Authors

Min LiiD· 2 shared Ning ZhangiD· 2 shared Siqi CheniD· 2 shared Yahui LongiD· 2 shared Chaojin WuiD· 1 shared Fuhao Zhang· 1 shared Gang Hu· 1 shared Jinmiao CheniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Min LiORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

PROBind: A Web Server for Prediction, Analysis and Visualization of Protein-Protein and Protein-Nucleic Acid Binding Residues

Chaojin Wu, Fuhao Zhang, Pengzhen Jia, Jiuxiang Zhu, Min Zeng, Gang Hu, Kui Wang, Lukasz Kurgan, Min Li

PROBind predicts, analyzes, and visualizes protein-protein and protein-nucleic acid binding residues using sequence and structure data, integrating multiple predictors and providing interactive tools.

Genomics Proteomics & Bioinformatics · Apr 24, 2026Peer-reviewedBioinformatics

Inferring spatial gene expression from tissue images using large-scale histology foundation model with SpaFoundation

Ning Zhang, Yahui Long, Sibo Xia, Pengzhen Jia, Yujie Jin, Siqi Chen, Jinmiao Chen, Min Li

This paper introduces SpaFoundation, a histology foundation model that predicts spatial gene expression from tissue images, showing strong performance in prediction and transferability.

bioRxiv · Aug 7, 2025 · PreprintBioinformatics

SpatialMap: A Scalable Deep Learning Method for Cell Typing in Subcellular Spatial Transcriptomics

Pengzhen Jia, Yahui Long, Yichao Zhao, Ning Zhang, Zhaoyu Fang, Siqi Chen, Min Li

SpatialMap is a deep learning method for cell typing in subcellular spatial transcriptomics that outperforms existing methods and identifies novel cell types.

bioRxiv · Jul 3, 2025 · PreprintBioinformatics