Python Polar Gini Curve
This is a Python port of the Polar Gini Curve introduced by Nguyen et al. (2021). I've implemented the core functionality in Python, making it easier to integrate into Python-based data analysis workflows. The original MATLAB code is available in the aimed-lab/Polar-Gini-Curve repository.
Quickstart
To get started with the Polar Gini Curve in Python, you can install the package from PyPI, then use the CLI to compute the Polar Gini Curve from a CSV file containing your data. Here's a quick example:
pip install polargini
pgc --csv data.csv --plot
For more detailed usage, refer to the original documentation.
Citation
Nguyen, T.M., Jeevan, J.J., Xu, N. and Chen, J.Y., "Polar Gini Curve: a technique to discover gene expression spatial patterns from single-cell RNA-seq data," Genomics, Proteomics & Bioinformatics 19(3), 493-503 (2021).
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Release files for polargini 1.0.0
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Total release size: 34.0 kB
Release files / polargini-1.0.0.tar.gz
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