A Bayesian mixture model for the analysis of allelic expression in single cells

Allele-specific expression at single-cell resolution can reveal stochastic and dynamic features of gene expression in greater detail. The authors propose scBASE, a soft zero-and-one inflated model that improves estimation of cellular allelic proportions by pooling information across cells.

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Autores principales: Kwangbom Choi, Narayanan Raghupathy, Gary A. Churchill
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/b3986d791d71404d99354a6093a9a7be
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