scMTD: a statistical multidimensional imputation method for single-cell RNA-seq data leveraging transcriptome dynamic information.

Qi, Jing; Sheng, Qiongyu; Zhou, Yang; Hua, Jiao; Xiao, Shutong; Jin, Shuilin

Qi, Jing; Sheng, Qiongyu; Zhou, Yang; Hua, Jiao; Xiao, Shutong; Jin, Shuilin.

Afiliação

Qi J; School of Mathematics, Harbin Institute of Technology, Harbin, People's Republic of China.
Sheng Q; School of Mathematics, Harbin Institute of Technology, Harbin, People's Republic of China.
Zhou Y; School of Mathematics, Harbin Institute of Technology, Harbin, People's Republic of China.
Hua J; School of Mathematics, Harbin Institute of Technology, Harbin, People's Republic of China.
Xiao S; School of Mathematics, Harbin Institute of Technology, Harbin, People's Republic of China.
Jin S; School of Mathematics, Harbin Institute of Technology, Harbin, People's Republic of China. jinsl@hit.edu.cn.

Cell Biosci ; 12(1): 142, 2022 Sep 02.

Article em En | MEDLINE | ID: mdl-36056412

Palavras-chave

Cell-level; Gene-level; Multidimensional information; Single-cell RNA-seq; Transcriptome dynamic

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Cell Biosci Ano de publicação: 2022 Tipo de documento: Article

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