The future of rapid and automated single-cell data analysis using reference mapping.
Cell
; 187(10): 2343-2358, 2024 May 09.
Article
en En
| MEDLINE
| ID: mdl-38729109
ABSTRACT
As the number of single-cell datasets continues to grow rapidly, workflows that map new data to well-curated reference atlases offer enormous promise for the biological community. In this perspective, we discuss key computational challenges and opportunities for single-cell reference-mapping algorithms. We discuss how mapping algorithms will enable the integration of diverse datasets across disease states, molecular modalities, genetic perturbations, and diverse species and will eventually replace manual and laborious unsupervised clustering pipelines.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Algoritmos
/
Análisis de la Célula Individual
Límite:
Animals
/
Humans
Idioma:
En
Revista:
Cell
Año:
2024
Tipo del documento:
Article
País de afiliación:
Reino Unido