Metadata-Version: 2.4
Name: gc-ims-tools
Version: 0.1.10
Summary: Analyze GC-IMS data.
Author-email: Charisma-Mannheim <charisma@hs-mannheim.de>
License: BSD-3-Clause
Project-URL: Homepage, https://github.com/Charisma-Mannheim/gc-ims-tools
Project-URL: Repository, https://github.com/Charisma-Mannheim/gc-ims-tools
Project-URL: Bug Tracker, https://github.com/Charisma-Mannheim/gc-ims-tools/issues
Project-URL: Documentation, https://charisma-mannheim.github.io/gc-ims-tools/build/html/index.html
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: h5py
Requires-Dist: scikit-learn
Requires-Dist: scikit-image
Requires-Dist: findpeaks
Requires-Dist: dtwalign
Requires-Dist: PyWavelets
Dynamic: license-file

# *gc-ims-tools*

Python package to handle and analyze GC-IMS data.
The aim is to implement common data specific routines to fully utilize the existing data science ecosystem for chemometrics.

## Installation

*gc-ims-tools* requieres Python 3.8+ and can be installed with pip:

`pip install gc-ims-tools`

## Documentation

Detailed documentation can be found at: https://charisma-mannheim.github.io/gc-ims-tools/build/html/index.html

## Example dataset

An example GC-IMS dataset on the classification of olive oils by geographical origin can be found at:
https://data.mendeley.com/datasets/fr9t5fkkvz/2


## Citation

If this project is helpful for your work citing the following publication would be appreciated:

Christmann, Joscha; Rohn, Sascha; Weller, Philipp (2022): gc-ims-tools – A new Python package for chemometric analysis of GC–IMS data. In: Food chemistry 224 (4), S. 133476. DOI: 10.1016/j.foodchem.2022.133476.
