Dimension-agnostic and granularity-based spatially variable gene identification

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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, Su, Li, Chang, Yuzhou, Xu, Chunhui, Ma, Qin, Xu, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055640/
https://www.ncbi.nlm.nih.gov/pubmed/36993309
http://dx.doi.org/10.21203/rs.3.rs-2687726/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055640/
https://www.ncbi.nlm.nih.gov/pubmed/36993309
http://dx.doi.org/10.21203/rs.3.rs-2687726/v1

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