CAJAL enables analysis and integration of single-cell morphological data using metric geometry

High-resolution imaging has revolutionized the study of single cells in their spatial context. However, summarizing the great diversity of complex cell shapes found in tissues and inferring associations with other single-cell data remains a challenge. Here, we present CAJAL, a general computational...

Descripción completa

Detalles Bibliográficos
Autores principales: Govek, Kiya W., Nicodemus, Patrick, Lin, Yuxuan, Crawford, Jake, Saturnino, Artur B., Cui, Hannah, Zoga, Kristi, Hart, Michael P., Camara, Pablo G.
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/PMC10282047/
https://www.ncbi.nlm.nih.gov/pubmed/37339989
http://dx.doi.org/10.1038/s41467-023-39424-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282047/
https://www.ncbi.nlm.nih.gov/pubmed/37339989
http://dx.doi.org/10.1038/s41467-023-39424-2

Ejemplares similares