Author

Sheng Li

University of Southern CaliforniaORCID 0000-0001-7636-3797Unclaimed ORCID profile · follow to get notified of new preprints

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Sheng Li3 papers · Nanfang Hospital

Biology Disciplines

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Bioinformatics· 1

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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

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

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Elaheh AlizadehORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJun 12, 2024

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

Yue Zhao, Elaheh Alizadeh, Hash Brown Taha…·Sheng Li

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

7 citations

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