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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| 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 |