Author

Qitian Wu

Broad InstituteORCID 0000-0001-7734-5945Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Fei CheniD· 2 shared Qiyu Gong· 2 shared Caroline UhleriD· 1 shared Dongshunyi LiiD· 1 shared Jackson A. WeiriD· 1 shared Kai CaoiD· 1 shared Luezhen YuaniD· 1 shared Orr AshenbergiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Fei ChenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 6, 2026

Multi-modal foundation model with whole-slide attention enables transferrable digital pathology at single-cell resolution

Qitian Wu, Qiyu Gong, Luezhen Yuan…·Caroline Uhler

TissueFormer is a foundation model that predicts spatial gene expression from histology images at single-cell resolution and scales to diagnostic tasks.

DOI 10.64898/2026.07.31.741265

spatial transcriptomicsimaging

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 22, 2025

Energy-Regularized Graph Learning for Multiscale Spatial Representation

Qiyu Gong, Kai Cao, Jackson A. Weir…·Fei Chen

Glimmer improves spatial representation learning by adaptively learning graphs that balance molecular similarity and spatial proximity across scales, outperforming existing methods in clustering and spatial conservation.

DOI 10.1101/2025.08.22.671846

humanspatial transcriptomics

𝕏 PostBluesky