scBASE
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.
Free software: MIT license
Documentation: https://churchill-lab.github.io/scBASE/
History
0.1.0 (2018-08-02)
First release on PyPI.
1 maintainer
Metadata
1 maintainer
Release files for scbase 0.1.2
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| File | Size | Uploaded | Provenance | |
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| scbase-0.1.2.tar.gz | 189.8 kB | Without provenance | Details |
Release files / scbase-0.1.2.tar.gz
| Download URL | scbase-0.1.2.tar.gz |
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| Size | 189.8 kB |
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