Author

Kayle J. Bender

University of California, Davis

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Biochemistry· 1

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Organism:human· 1 Assay:metabolomics· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

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Aijun WangiD· 1 shared Elizabeth K. NeumanniD· 1 shared Siyu LiniD· 1 shared Weidi ZhangiD· 1 shared Yongheng WangiD· 1 shared

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Aijun WangORCID

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Recent·Most cited

TransMetaSegmentation (TMS): a transcriptome-based segmentation method for spatial metabolomic data

Yongheng Wang, Kayle J. Bender, Weidi Zhang, Siyu Lin, Elizabeth K. Neumann, Aijun Wang

This paper introduces TMS, a method that combines MALDI MSI data with single-cell spatial transcriptomics to segment cells and assign metabolites to cell types.

bioRxiv · Jun 12, 2024 · PreprintBiochemistry