Accurate estimation of single cell allele-specific gene expression using all reads and combining information across cells

Choi, K.; Raghupathy, N.; Churchill, G. A.

doi:10.1101/383224

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bioRxiv · 10.1101/383224

Accurate estimation of single cell allele-specific gene expression using all reads and combining information across cells

Choi, K.·Raghupathy, N.·Churchill, G. A.

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Abstract

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 propose a new method for ASE analysis from single cell RNA-Seq data that accurately classifies allelic expression states and improves estimation of allelic proportions by pooling information across cells.

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Choi, K., Raghupathy, N., Churchill, G. A.. 2018-08-02. Accurate estimation of single cell allele-specific gene expression using all reads and combining information across cells. https://doi.org/10.1101/383224

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