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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Autores principales: Samarendra Das, Ph.D., Shesh N. Rai, Ph.D.
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/ee7f54bcc86d434994791725df11b911
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