Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning
Multi-view graph approaches could enhance the analysis of tissue heterogeneity in spatial transcriptomics. Here, the authors develop the Spatial Transcriptomics data analysis by Multiple View Collaborative-learning - stMVC - framework, and apply it to detect spatial domains and cell states in brain...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-10-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-33619-9 |