SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning
SpaDecon is a semi-supervised learning-based method for cell-type deconvolution of spatially resolved transcriptomics (SRT) data that is also computationally fast and memory efficient for large-scale SRT studies.
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-04-01
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Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-023-04761-x |