Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST
Abstract Spatially resolved transcriptomics involves a set of emerging technologies that enable the transcriptomic profiling of tissues with the physical location of expressions. Although a variety of methods have been developed for data integration, most of them are for single-cell RNA-seq datasets...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-35947-w |