# CatchME

**Repository Path**: jouhpf/CatchME

## Basic Information

- **Project Name**: CatchME
- **Description**: No description available
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-12-05
- **Last Updated**: 2025-12-05

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# CatchME
Multi**ca**ncer detection based on **t**issue deconvolution and **c**ancer risk prediction by mac**h**ine learning of cfDNA **me**thylation profiles

## Project Structure
```
CatchMe/
├── __init__.py
├── data/               # examples for run a demo       
├── deconvolution/      # module for deconvolution
├── diagnosis/          # module for deconvolution
├── marker_selection/   # module for marker selection
├── simulation/         # module for in silico simulation
├── utils/              # utils
├── reference/          # reference
├── main.py             # main
├── parsers.py          # argument parsers (sub command) for cli usage
└── pipeline.py         # analysis pipeline
```
## Requirements

all requirements were listed in `requirements.txt`

We provide a Conda environment YML file to reproduce the CatchME working environment. **But** we suggest to create environment using `requirements.txt`

Conda environment setup:

```
 conda env create -f environment.yml
```

## Demo
You can run a demo with the sample data provided in the project root; a `dianosis_result.csv` will be saved to your chosen output directory.
```
 python main.py diagnosis data/demo/ ./
```