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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.

Metadata

Release files for gc-ims-tools 0.1.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gc-ims-tools 0.1.10
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Built distribution (wheel)

Table of built distributions (wheels) for gc-ims-tools 0.1.10
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gc_ims_tools-0.1.10-py3-none-any.whl Python 3 none any Details

Total release size: 75.4 kB

Release files / gc_ims_tools-0.1.10.tar.gz

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