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Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics
BACKGROUND: Single-cell RNA sequencing is a powerful tool for characterizing cellular heterogeneity in gene expression. However, high variability and a large number of zero counts present challenges for analysis and interpretation. There is substantial controversy over the origins and proper treatme...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384222/ https://www.ncbi.nlm.nih.gov/pubmed/32718323 http://dx.doi.org/10.1186/s13059-020-02103-2 |