Metadata-Version: 2.1
Name: spred
Version: 0.1.0
Summary: Splicing-regulatory Driver Genes Identification Tool
Author-email: Chenqing Zheng <your.email@example.com>
License: MIT
Project-URL: Homepage, https://github.com/yourusername/asge-demo
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: click
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: statsmodels
Requires-Dist: pydeseq2==0.4.4
Requires-Dist: gseapy==1.0.6
Requires-Dist: seaborn==0.13.2
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Requires-Dist: click; extra == "test"

# SpReD-GIT 
Splicing-regulatory Driver Genes Identification Tool

This project describes a tool to identify the splicing-regulatory driver genes based on isoform-level expressions quanlification such as XAEM, RSEM

## Prerequisites
```
Python (recommended version >= 3.7)
```

## Installation

### 
```
conda create -n SpReD python==3.8
conda activate SpReD
```

#### Step 1: Setup tools
```
git clone https://github.com/ZhengCQ/SpReD.git
cd SpReD
pip install -e ./
```

## Input files
### matrix

### group


## Quick start
```
spred run-all -m matrix.count.input.tsv -e group.tsv -g Group_name -c1 Case_name -c2 Control_name -o outdir_name --species human
```

