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Article

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

Nature communications - 15 Nov 2019

Choi Kwangbom, Raghupathy Narayanan, Churchill Gary A

Abstract excerpt

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 leads to higher variability in estimates of allelic proportions, an increased frequency of sampling zeros, and can...

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Identifiers

PMID: 31729374
DOI: 10.1038/s41467-019-13099-0
PMCID: PMC6858378

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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