Metadata-Version: 2.3
Name: casedi
Version: 0.0.1
Summary: Cancer ASE driver identification (CASEDI)
Project-URL: Homepage, https://github.com/maggietsui/CASEDI
Project-URL: Issues, https://github.com/maggietsui/CASEDI/issues
Author-email: Maggie Tsui <margaret.tsui@ucsf.edu>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9.5
Requires-Dist: matplotlib>=3.4.2
Requires-Dist: numpy>=1.23.3
Requires-Dist: pandas>=1.3.1
Requires-Dist: scikit-survival
Requires-Dist: scipy>=1.9.1
Requires-Dist: statsmodels>=0.13.2
Description-Content-Type: text/markdown

# Cancer ASE driver identification (CASEDI)

<img src="casedi.png" width=70% height=70%>

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:

```python
pip install --index-url https://test.pypi.org/simple/ --no-deps casedi-test
```
You may instead want to use the development version from Github:

```python
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
