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**scBASE** is a python implementation of "soft" zero-and-one inflated model for estimating cellular allelic proportions from scRNA-Seq data

Project description

scBASE

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Allele-specific expression (ASE) in single-cell resolution can reveal stochastic and dynamic features of gene expression in greater detail. However, analyzing single-cell ASE poses unique analytical challenges due to the extremely low depth of sequencing coverage per cell. In addition, allelic proportions often form U-shaped or W-shaped distribution because of the frequent occurrence of random monoallelic bursts. We propose a new method, scBASE, a “soft” zero-and-one inflated model for cellular allelic proportions in which we tackle data sparsity and variability by harnessing information derived from cell’s population context.

History

0.1.0 (2018-08-02)

  • First release on PyPI.

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