SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
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Title
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
Authors
Keywords
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Journal
NATURE METHODS
Volume 18, Issue 11, Pages 1342-1351
Publisher
Springer Science and Business Media LLC
Online
2021-10-29
DOI
10.1038/s41592-021-01255-8
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- (2020) Robert R. Stickels et al. NATURE BIOTECHNOLOGY
- Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution
- (2019) Samuel G. Rodriques et al. SCIENCE
- Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+
- (2019) Chee-Huat Linus Eng et al. NATURE
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- (2019) Sanja Vickovic et al. NATURE METHODS
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- In Situ Transcription Profiling of Single Cells Reveals Spatial Organization of Cells in the Mouse Hippocampus
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- Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
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- (2008) Vincent D Blondel et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
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