Article

STEM: A Method for Mapping Single-cell and Spatial Transcriptomics Data with Transfer Learning

2022-09-26

Abstract excerpt

Profiling spatial variations of cellular composition and transcriptomic characteristics is important for understanding the physiology and pathology of tissues in health or diseases. Spatial transcriptomics (ST) data are powerful for depicting spatial gene expression but the currently dominating high-throughput technology is yet not at single-cell resolution. On the other hand, single-cell RNA-sequencing (SC) data...

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Literature Corpus work: 7f029fb2-9b2b-5eca-a30a-bee53b26314a
DOI: 10.1101/2022.09.23.509186

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