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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

Metadata

Release files for gfpa 1.1.0

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

Source distribution (sdist)

Source distribution for gfpa 1.1.0
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Table of built distributions (wheels) for gfpa 1.1.0
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gfpa-1.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 16.2 kB

Release files / gfpa-1.1.0.tar.gz

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1.1.0 This release

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