Skip to main content

Gene function and cell surface protein association analysis based on single-cell multiomics data.

Project description

Gene function and cell surface protein association analysis based on single-cell multiomics data

It is a single-cell multiomics data analysis framework that analyzes the association of gene function and cell surface proteins. The python packages, datasets and user-friendly manuals of GFPA are freely available at https://github.com/studentiz/gfpa.

The GFPA framework works with scanpy and supports the following single-cell multimodal analyses

  • Single-cell multi-omics data preprocessing
  • Quantification of gene function
  • Gene function and protein association mining
  • Visualization

Pip install

pip install gfpa

Datasets

The dataset participating in "Gene function and cell surface protein association analysis based on single-cell multiomics data" can be downloaded at GFPA data warehouse

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

gfpa-1.1.0.tar.gz (7.9 kB view hashes)

Uploaded Source

Built Distribution

gfpa-1.1.0-py3-none-any.whl (8.3 kB view hashes)

Uploaded Python 3

Supported by

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