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Comparison and evaluation of statistical error models for scRNA-seq
BACKGROUND: Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple sources, including biological variation in cellular state as well as technical variation introduced during experimental processing. Deconvolving these effects is a key challenge for preprocessing workflows. Recen...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764781/ https://www.ncbi.nlm.nih.gov/pubmed/35042561 http://dx.doi.org/10.1186/s13059-021-02584-9 |