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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Auteurs principaux: Kwangbom Choi, Narayanan Raghupathy, Gary A. Churchill
Format: article
Langue:EN
Publié: Nature Portfolio 2019
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Accès en ligne:https://doaj.org/article/b3986d791d71404d99354a6093a9a7be
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