Semla: a versatile toolkit for spatially resolved transcriptomics analysis and visualization

SUMMARY: Spatially resolved transcriptomics technologies generate gene expression data with retained positional information from a tissue section, often accompanied by a corresponding histological image. Computational tools should make it effortless to incorporate spatial information into data analy...

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Detalles Bibliográficos
Autores principales: Larsson, Ludvig, Franzén, Lovisa, Ståhl, Patrik L, Lundeberg, Joakim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597621/
https://www.ncbi.nlm.nih.gov/pubmed/37846051
http://dx.doi.org/10.1093/bioinformatics/btad626

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597621/
https://www.ncbi.nlm.nih.gov/pubmed/37846051
http://dx.doi.org/10.1093/bioinformatics/btad626

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