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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Formato: | article |
Lenguaje: | EN |
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Elsevier
2021
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Acceso en línea: | https://doaj.org/article/ee7f54bcc86d434994791725df11b911 |
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