semvec/pypi-packages huggingface dataset:
scbase 0.1.2
**scBASE** is a python implementation of "soft" zero-and-one inflated model for estimating cellular allelic proportions from scRNA-Seq data
License: MIT license
Keywords: scbase

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scBASE
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.. image:: https://img.shields.io/pypi/v/scbase.svg
        :target: https://pypi.python.org/pypi/scbase

.. image:: https://travis-ci.org/churchill-lab/scBASE.svg?branch=master
        :target: https://travis-ci.org/churchill-lab/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/


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History
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0.1.0 (2018-08-02)
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* First release on PyPI.