Skip to main content

Python implementation of the Polar Gini Curve

Project description

Python Polar Gini Curve

PyPI version CI

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).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

polargini-1.0.0.tar.gz (18.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

polargini-1.0.0-py3-none-any.whl (15.2 kB view details)

Uploaded Python 3

File details

Details for the file polargini-1.0.0.tar.gz.

File metadata

  • Download URL: polargini-1.0.0.tar.gz
  • Upload date:
  • Size: 18.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for polargini-1.0.0.tar.gz
Algorithm Hash digest
SHA256 8876d2b6108ec7da97f7811e802f5cce73dea9308bde287acdc7a8676fff279a
MD5 8e1f7a0673f64889e5be230388dfb1cc
BLAKE2b-256 8bf4ac41c30ca247fba84ac043425122fa81f0c2183af521fcaafd8cfb26e805

See more details on using hashes here.

File details

Details for the file polargini-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: polargini-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 15.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for polargini-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8c6892617dccbded8e40cc912bb983be30337f95b505588db68cd8b96fa9a8b4
MD5 75a0d8caab50b32930297a3e521e7f2a
BLAKE2b-256 2cf7230f90e42372002a81c4e4b24ecc4cdcf828f8340ce2baea6d650ee4aa85

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page