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

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) provides a powerful tool to capture transcriptomes at single-cell resolution. However, dropout events distort the gene expression levels and underlying biological signals, misleading the downstream analysis of scRNA-seq data. RESULTS: We develop a s...

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Detalles Bibliográficos
Autores principales: Qi, Jing, Sheng, Qiongyu, Zhou, Yang, Hua, Jiao, Xiao, Shutong, Jin, Shuilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440561/
https://www.ncbi.nlm.nih.gov/pubmed/36056412
http://dx.doi.org/10.1186/s13578-022-00886-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440561/
https://www.ncbi.nlm.nih.gov/pubmed/36056412
http://dx.doi.org/10.1186/s13578-022-00886-4

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