Ben Raphael | Computational methods to identify spatial domains ... | CGSI 2024
Автор: Computational Genomics Summer Institute CGSI
Загружено: 2025-11-18
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Ben Raphael | Computational methods to identify spatial domains (in spatial transcriptomics data) | CGSI 2024
Related Papers:
Zhou et al. (2021) Spatial transcriptomics at subspot resolution with BayesSpace. Nature Biotechnology
Dong and Zhang. (2022) Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder. Nature Communications
Yuan et al. (2024) Benchmarking spatial clustering methods with spatially resolved transcriptomics data. Nature Methods
C. Ma, et al. (2024) Inferring allele-specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics. bioRxiv https://doi.org/10.1101/2024.03.09.58...
U. Chitra, et al. (2023) Mapping the topography of spatial gene expression with interpretable deep learning. bioRxiv https://doi.org/10.1101/2023.10.10.56...
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