Statistical methods for analysis of single-cell RNA-sequencing data

Single-cell RNA-sequencing (scRNA-seq) is a recent high-throughput genomic technology used to study the expression dynamics of genes at single-cell level. Analyzing the scRNA-seq data in presence of biological confounding factors including dropout events is a challenging task. Thus, this article pre...

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Detalles Bibliográficos
Autores principales: Das, Samarendra, Rai, Shesh N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720898/
https://www.ncbi.nlm.nih.gov/pubmed/35004214
http://dx.doi.org/10.1016/j.mex.2021.101580

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720898/
https://www.ncbi.nlm.nih.gov/pubmed/35004214
http://dx.doi.org/10.1016/j.mex.2021.101580

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