Project description

Cancer ASE driver identification (CASEDI)

CASEDI is an analysis framework that uses tumor allele-specific expression (ASE) data to prioritize cancer driver genes. CASEDI includes functions to identify genes enriched for ASE between datasets, conduct ASE-stratified survival analysis, and identify genes showing ASE outlier expression.

Installation

The latest stable release can be installed from PyPI:

pip install casedi

You may instead want to use the development version from Github:

pip install git+https://https://github.com/maggietsui/casedi.git

Usage

Examples are available in the jupyter notebook examples/examples.ipynb.

Requirements

pandas >= 1.3.1
numpy >= 1.23.3
scikit-survival
scipy >= 1.9.1
statsmodels >= 0.13.2
matplotlib >= 3.4.2

Project details

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This version

0.0.3

Apr 30, 2024

0.0.2

Apr 30, 2024

0.0.1

Apr 30, 2024

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