Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning
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DOI: 10.1038/s41467-022-33619-9
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- James Chapman & Tim Hsu & Xiao Chen & Tae Wook Heo & Brandon C. Wood, 2023. "Quantifying disorder one atom at a time using an interpretable graph neural network paradigm," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
- Zhiyuan Yuan, 2024. "MENDER: fast and scalable tissue structure identification in spatial omics data," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
- Chunman Zuo & Junjie Xia & Luonan Chen, 2024. "Dissecting tumor microenvironment from spatially resolved transcriptomics data by heterogeneous graph learning," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
- Benjamin L. Walker & Qing Nie, 2023. "NeST: nested hierarchical structure identification in spatial transcriptomic data," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
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