SMNN: batch effect correction for single-cell RNA-seq data via supervised mutual nearest neighbor detection.

Yang, Yuchen; Li, Gang; Qian, Huijun; Wilhelmsen, Kirk C; Shen, Yin; Li, Yun

Yang, Yuchen; Li, Gang; Qian, Huijun; Wilhelmsen, Kirk C; Shen, Yin; Li, Yun.

Afiliação

Yang Y; Department of Genetics at the University of North Carolina at Chapel Hill.
Li G; Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill.
Qian H; Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill.
Wilhelmsen KC; Department of Genetics at the University of North Carolina at Chapel Hill.
Shen Y; Institute for Human Genetics and Department of Neurology at the University of California San Francisco.
Li Y; Departments of Genetics, Biostatistics and Computer Science at the University of North Carolina at Chapel Hill.

Brief Bioinform ; 22(3)2021 05 20.

Article em En | MEDLINE | ID: mdl-32591778

Assuntos

Algoritmos; Bases de Dados de Ácidos Nucleicos; RNA-Seq; Análise de Célula Única; Análise por Conglomerados; Humanos

Palavras-chave

batch effect; single-cell RNA sequencing; supervised mutual nearest neighbor

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Bases de Dados de Ácidos Nucleicos / Análise de Célula Única / RNA-Seq Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google