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Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomic data with nonuniform cellular densities

Recent technological advances have enabled spatially resolved measurements of expression profiles for hundreds to thousands of genes in fixed tissues at single-cell resolution. However, scalable computational analysis methods able to take into consideration the inherent 3D spatial organization of ce...

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Detalles Bibliográficos
Autores principales: Miller, Brendan F., Bambah-Mukku, Dhananjay, Dulac, Catherine, Zhuang, Xiaowei, Fan, Jean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494224/
https://www.ncbi.nlm.nih.gov/pubmed/34035045
http://dx.doi.org/10.1101/gr.271288.120