Author

Miaoqing Zhao

Shandong Tumor HospitalORCID 0000-0001-9683-6483Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:spatial transcriptomics· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Bidesh MahataiD· 1 shared Binbin Cong· 1 shared Cheuk Shuen Li· 1 shared Chuanyuan Wang· 1 shared Chunjian Wang· 1 shared Daoliang ZhangiD· 1 shared Hongrun Zhang· 1 shared Na YuiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperImmunology

Bidesh MahataORCID

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2 papers

Recent·Most cited

Spatio-temporal mapping of immune cell dynamics during human sequential lymph node metastasis

Qiuchen Zhao, Yongjin Lu, Z. Shi, Hongrun Zhang, Cheuk Shuen Li, Rongrong Zhao, Yuanchao Ling, Yongsheng Gao, Zhaopeng Zhang, X. Sun, Yuping Qian, Xiaowen Wang, Chunjian Wang, Binbin Cong, Xiang Ni, , Pengfei Qiu

This study maps immune cell dynamics during human sequential lymph node metastasis using multi-omics approaches and identifies immune alterations linked to patient survival.

bioRxiv · Mar 19, 2026 · PreprintImmunology

stGCL: A versatile cross-modality fusion method based on multi-modal graph contrastive learning for spatial transcriptomics

Na Yu, Daoliang Zhang, Wen Zhang, Zhiping Liu, Xu Qiao, Chuanyuan Wang, Miaoqing Zhao, 晁宝婷, Wei Li, Yang Z. De Marinis, Rui Gao

stGCL integrates multi-modal spatial transcriptomics data using graph contrastive learning to improve clustering and spatial pattern analysis.

Genome biology · Jan 28, 2026Peer-reviewedBioinformatics