SciBet as a portable and fast single cell type identifier.
Nat Commun
; 11(1): 1818, 2020 04 14.
Article
en En
| MEDLINE
| ID: mdl-32286268
ABSTRACT
Fast, robust and technology-independent computational methods are needed for supervised cell type annotation of single-cell RNA sequencing data. We present SciBet, a supervised cell type identifier that accurately predicts cell identity for newly sequenced cells with order-of-magnitude speed advantage. We enable web client deployment of SciBet for rapid local computation without uploading local data to the server. Facing the exponential growth in the size of single cell RNA datasets, this user-friendly and cross-platform tool can be widely useful for single cell type identification.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Algoritmos
/
Análisis de la Célula Individual
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Nat Commun
Asunto de la revista:
BIOLOGIA
/
CIENCIA
Año:
2020
Tipo del documento:
Article
País de afiliación:
China