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nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes
Feature selection to identify spatially variable genes or other biologically informative genes is a key step during analyses of spatially-resolved transcriptomics data. Here, we propose nnSVG, a scalable approach to identify spatially variable genes based on nearest-neighbor Gaussian processes. Our...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333391/ https://www.ncbi.nlm.nih.gov/pubmed/37429865 http://dx.doi.org/10.1038/s41467-023-39748-z |