A benchmark of batch-effect correction methods for single-cell RNA sequencing data

Abstract Background Large-scale single-cell transcriptomic datasets generated using different technologies contain batch-specific systematic variations that present a challenge to batch-effect removal and data integration. With continued growth expected in scRNA-seq data, achieving effective batch i...

Descripció completa

Dades bibliogràfiques

Autors principals:	Hoa Thi Nhu Tran, Kok Siong Ang, Marion Chevrier, Xiaomeng Zhang, Nicole Yee Shin Lee, Michelle Goh, Jinmiao Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2020-01-01
Col·lecció:	Genome Biology
Matèries:	Single-cell RNA-seq Batch correction Batch effect Integration Differential gene expression
Accés en línia:	https://doi.org/10.1186/s13059-019-1850-9
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!