Article

CellDART: Cell type inference by domain adaptation of single-cell and spatial transcriptomic data

2021-04-27

Abstract excerpt

Deciphering the cellular composition in genome-wide spatially resolved transcriptomic data is a critical task to clarify the spatial context of cells in a tissue. In this study, we developed a method, CellDART, which estimates the spatial distribution of cells defined by single-cell level data using domain adaptation of neural networks and applied it to the spatial mapping of human lung tissue. The neural network...

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Literature Corpus work: c0febc6c-3b1d-53f8-906f-e49d5fb721d9
DOI: 10.1101/2021.04.26.441459

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