Author

Xinrong Wei

Northwestern Polytechnical 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

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:spatial transcriptomics· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

Gaoyuan Du· 3 shared Xingyi LiiD· 3 shared Xuequn ShangiD· 3 shared Chang Liu· 1 shared Dongmin ZhaoiD· 1 shared Feng WeiiD· 1 shared Gaotian Meng· 1 shared Huan Liu· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersBioinformatics

Gaoyuan Du

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3 papers

Recent·Most cited

SpatialClaw: A Memory-Augmented Autonomous Ecosystem for Spatial Omics Analysis

Gaoyuan Du, Ou Lan, Xinrong Wei, Yingfu Wu, Gaotian Meng, Jialun Wu, Zhanhuai Li, Xingyi Li, Xuequn Shang

SpatialClaw provides a memory-augmented system for spatial omics analysis, enabling end-to-end workflows through natural language interaction and outperforming standard models in benchmarking.

bioRxiv · May 25, 2026 · PreprintBioinformatics

Cell Type-informed Characterization of Spatial Niches from Spatial Multimodal and Multi-omics Data

Gaoyuan Du, Jialuo Xu, Xinrong Wei, Chang Liu, Dongmin Zhao, Xiangting Jia, Xingyi Li, Xuequn Shang

SpaNECT is a framework for characterizing cell niches from spatial multimodal and multi-omics data, outperforming existing methods in diverse biological contexts.

bioRxiv · May 13, 2026 · PreprintBioinformatics

Pathway-informed Universal Domain Adaptation for Single-cell RNA-seq Data

Xinrong Wei, Xingyi Li, Huan Liu, Gaoyuan Du, Feng Wei, Xuequn Shang

This paper introduces scPathOT, a pathway-informed domain adaptation method for single-cell RNA-seq data, demonstrating its ability to accurately annotate cell types and uncover functional mechanisms across diverse biological contexts.

bioRxiv · May 11, 2026 · PreprintBioinformatics