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Evaluating imputation methods for single-cell RNA-seq data

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) enables the high-throughput profiling of gene expression at the single-cell level. However, overwhelming dropouts within data may obscure meaningful biological signals. Various imputation methods have recently been developed to address this problem....

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Detalles Bibliográficos
Autores principales: Cheng, Yi, Ma, Xiuli, Yuan, Lang, Sun, Zhaoguo, Wang, Pingzhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386301/
https://www.ncbi.nlm.nih.gov/pubmed/37507764
http://dx.doi.org/10.1186/s12859-023-05417-7

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