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

Allele-specific expression (ASE) at single-cell resolution is a critical tool for understanding the stochastic and dynamic features of gene expression. However, low read coverage and high biological variability present challenges for analyzing ASE. We demonstrate that discarding multi-mapping reads...

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Détails bibliographiques
Publié dans:Nat Commun
Auteurs principaux: Choi, Kwangbom, Raghupathy, Narayanan, Churchill, Gary A.
Format: Artigo
Langue:Inglês
Publié: Nature Publishing Group UK 2019
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Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6858378/
https://ncbi.nlm.nih.gov/pubmed/31729374
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-13099-0
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