Author

Bin Wang

Soochow UniversityORCID 0009-0008-5002-6977Unclaimed ORCID profile · follow to get notified of new preprints

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Bin Wang7 papers · Beijing Chest Hospital

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:contrastive learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Hui LiuiD· 2 shared Guobang Yu· 1 shared Xiaodong XieiD· 1 shared Yi Zuo· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Hui LiuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 30, 2023

Whole slide image analysis accurately predict tumor infiltrating macrophages and immunotherapy benefit in breast cancer by weakly supervised contrastive learning

Guobang Yu, Yi Zuo, Bin Wang, Hui Liu

1 citation

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BioinformaticsbioRxivPreprintApr 13, 2023

Computational pathology infers clinically relevant protein levels and drug response in breast cancer by weakly supervised contrastive learning

Hui Liu, Xiaodong Xie, Bin Wang

This paper introduces wsi2rppa, a weakly supervised contrastive learning framework that infers protein levels and drug response in breast cancer from whole slide images, achieving 0.79 AUC for trastuzumab response prediction.

DOI 10.1101/2023.04.13.536819

humanspatial transcriptomics

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