Dimension-agnostic and granularity-based spatially variable gene identification using BSP

Identifying spatially variable genes (SVGs) is critical in linking molecular cell functions with tissue phenotypes. Spatially resolved transcriptomics captures cellular-level gene expression with corresponding spatial coordinates in two or three dimensions and can be used to infer SVGs effectively....

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Detalles Bibliográficos
Autores principales: Wang, Juexin, Li, Jinpu, Kramer, Skyler T., Su, Li, Chang, Yuzhou, Xu, Chunhui, Eadon, Michael T., Kiryluk, Krzysztof, Ma, Qin, Xu, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645821/
https://www.ncbi.nlm.nih.gov/pubmed/37963892
http://dx.doi.org/10.1038/s41467-023-43256-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645821/
https://www.ncbi.nlm.nih.gov/pubmed/37963892
http://dx.doi.org/10.1038/s41467-023-43256-5

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