Article

Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning

2021-07-09

Abstract excerpt

Spatially resolved transcriptomics provides a new way to define spatial contexts and understand biological functions in complex diseases. Although some computational frameworks can characterize spatial context via various clustering methods, the detailed spatial architectures and functional zonation often cannot be revealed and localized due to the limited capacities of associating spatial information. We present...

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Literature Corpus work: 83483df7-d944-5293-9820-5dd3c90fd71e
DOI: 10.1101/2021.07.08.451210

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