Chrysalis: decoding tissue compartments in spatial transcriptomics with archetypal analysis
Abstract Dissecting tissue compartments in spatial transcriptomics (ST) remains challenging due to limited spatial resolution and dependence on single-cell reference data. We present Chrysalis, a computational method that rapidly uncovers tissue compartments through spatially variable gene (SVG) det...
| Published in: | Communications Biology |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
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| Online Access: | https://doi.org/10.1038/s42003-024-07165-7 |