A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data.

Qi, Yang; Guo, Yang; Jiao, Huixin; Shang, Xuequn

Qi, Yang; Guo, Yang; Jiao, Huixin; Shang, Xuequn.

Afiliación

Qi Y; School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China.
Guo Y; School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China. gyang@mail.nwpu.edu.cn.
Jiao H; School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China.
Shang X; School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China. shang@nwpu.edu.cn.

BMC Bioinformatics ; 21(1): 240, 2020 Jun 11.

Article en En | MEDLINE | ID: mdl-32527285

Asunto(s)

Análisis de Secuencia de ARN/métodos; Análisis de la Célula Individual/métodos; Humanos

Palabras clave

Biological networks; Cell types; Data integration; Dropout events; scRNA-seq

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Análisis de Secuencia de ARN / Análisis de la Célula Individual Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: China

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