Dimensionality Reduction and Denoising of Spatial Transcriptomics Data Using Dual-Channel Masked Graph Autoencoder
Recent advances in spatial transcriptomics (ST) technology allow researchers to comprehensively measure gene expression patterns at the level of individual cells or even subcellular compartments while preserving the spatial context of their tissue. Spatial domain identification is a critical task in...
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| Published in: | bioRxiv |
|---|---|
| Main Authors: | , , , |
| Format: | Paper |
| Language: | English |
| Published: |
Cold Spring Harbor Laboratory
02.06.2024
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| Edition: | 1.1 |
| Subjects: | |
| ISSN: | 2692-8205 |
| Online Access: | Get full text |
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