Author

Ming Xu

University of ConnecticutORCID 0000-0002-0816-7046Unclaimed ORCID profile · follow to get notified of new preprints

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Ming Xu5 papers · Chinese Academy of Medical Sciences & Peking Union Medical College

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Elaheh AlizadehiD· 1 shared Hash Brown TahaiD· 1 shared J. Matthew MahoneyiD· 1 shared Sheng LiiD· 1 shared Yang LiuiD· 1 shared Yue ZhaoiD· 1 shared

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2024-2024 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Elaheh AlizadehORCID

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1 paper

Recent·Most cited

Inferring single-cell spatial gene expression with tissue morphology via explainable deep learning

Yue Zhao, Elaheh Alizadeh, Hash Brown Taha, Yang Liu, Ming Xu, J. Matthew Mahoney, Sheng Li

SPiRiT uses explainable deep learning to predict spatial single-cell gene expression from histological images, improving accuracy over existing methods.

bioRxiv · Jun 12, 2024 · PreprintBioinformatics