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

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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Bibliographic Details
Main Authors: Samarendra Das, Ph.D., Shesh N. Rai, Ph.D.
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:MethodsX
Subjects:
Zero inflated negative binomial model
Molecular capture model
Observed UMI count
True UMI count
Mean
Zero Inflation
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016121003708

Internet

http://www.sciencedirect.com/science/article/pii/S2215016121003708

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