Metadata-Version: 2.4
Name: brainnet-graph
Version: 0.1.0
Summary: Graph construction from BOLD signal time series
Home-page: https://github.com/yourname/brainnet-graph
Author: Songlin Zhao
Author-email: your_email@example.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: torch
Requires-Dist: torch-geometric
Requires-Dist: scikit-learn
Requires-Dist: tqdm
Requires-Dist: matplotlib
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# brainnet-graph

A Python package for constructing brain graphs from fMRI BOLD signal at ROI level.

## Features

- Pearson, cosine, partial correlation methods
- Supports , ,  input
- Output graph as PyTorch Geometric or CSV
- CLI with demo mode

## Usage

Install:
```bash
pip install brainnet-graph
```

Run demo:
```bash
construct-graph --demo
```

