histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.
Nat Methods
; 14(9): 873-876, 2017 Sep.
Article
en En
| MEDLINE
| ID: mdl-28783155
ABSTRACT
Single-cell, spatially resolved omics analysis of tissues is poised to transform biomedical research and clinical practice. We have developed an open-source, computational histology topography cytometry analysis toolbox (histoCAT) to enable interactive, quantitative, and comprehensive exploration of individual cell phenotypes, cell-cell interactions, microenvironments, and morphological structures within intact tissues. We highlight the unique abilities of histoCAT through analysis of highly multiplexed mass cytometry images of human breast cancer tissues.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Programas Informáticos
/
Comunicación Celular
/
Proteoma
/
Análisis de Matrices Tisulares
/
Imagen Molecular
/
Citometría de Flujo
Idioma:
En
Revista:
Nat Methods
Asunto de la revista:
TECNICAS E PROCEDIMENTOS DE LABORATORIO
Año:
2017
Tipo del documento:
Article
País de afiliación:
Suiza