Metadata-Version: 2.1
Name: ms2lipid
Version: 0.1.1
Summary: ms2lipid is a Python library for predicted lipid class by using ms2 spectrum.
Home-page: https://github.com/systemsomicslab/ms2lipid
License: MIT
Author: NamiSakamoto
Author-email: 123930464+NamiSakamoto@users.noreply.github.com
Requires-Python: >=3.9,<3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: keras (==2.15.0)
Requires-Dist: numpy (>=1.26.4,<2.0.0)
Requires-Dist: pandas (>=2.1.2,<3.0.0)
Requires-Dist: tensorflow (==2.15.0)
Requires-Dist: zenodo-get (>=1.6.1,<2.0.0)
Project-URL: Issues, https://github.com/systemsomicslab/ms2lipid/issues
Description-Content-Type: text/markdown

# ms2lipid

ms2lipid is a Python library for predicted lipid class by using ms2 spectrum.

## Installation

Use the package manager pip to install ms2lipid.

```bash
pip install ms2lipid
```

## Usage

```python
import ms2lipid

# predicted lipid subclass by ms2 spectrum
predicted_result_df = ms2lipid.predclass(data_path, ms2spectrum_column_name, precurcerion_column_name, ionmode)

# Create a summary based on the information of correct class
ms2lipid.prediction_summary(predicted_result_df, data_path, class_correct_column_name)
```

## License

[MIT](https://choosealicense.com/licenses/mit/)

