Author

Ningfeng Que

Peking UniversityORCID 0009-0000-1790-1241Unclaimed 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:cell-cell communication· 2 Organism:human· 2 Organism:mouse· 2 Assay:spatial transcriptomics· 2 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Approach:graph neural network· 1

Frequent Co-Authors

Chao LiiD· 2 shared Chenyang Tao· 2 shared Hanyu Liu· 2 shared Jianguo XuiD· 2 shared Jianzhong XiiD· 2 shared Pinan Zhu· 2 shared Stephen Price· 2 shared Xiaofei WangiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Chao LiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 12, 2026

Histology-aware Inference of Cell-cell Communication in Spatial Transcriptomics

Xiaofei Wang, Chenyang Tao, Yu Jiang…·Chao Li

This paper introduces HARMONIC, a framework that improves cell-cell communication inference in spatial transcriptomics by incorporating histology data, showing it better captures anatomical context.

DOI 10.64898/2026.01.22.701166

humanmouse

𝕏 PostBluesky

BioengineeringbioRxivPreprintOct 12, 2026

Coordinated Enhancement of Molecular and Spatial Fidelity for Biological Inference in Spatial Transcriptomics

Xiaofei Wang, Ningfeng Que, Hanyu Liu…·Chao Li

FOCUS improves spatial transcriptomics by coordinating molecular and spatial fidelity across multiple tasks and datasets, revealing clearer biological patterns in immunology, development, and oncology.

1 citation

humanmouse

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