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)
| File | Size | Uploaded | |
|---|---|---|---|
| gfpa-1.1.0.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | gfpa-1.1.0.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / gfpa-1.1.0-py3-none-any.whl
| Download URL | gfpa-1.1.0-py3-none-any.whl |
|---|---|
| Size | 8.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.8.12
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