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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file gfpa-1.1.0.tar.gz.
File metadata
- Download URL: gfpa-1.1.0.tar.gz
- Upload date:
- Size: 7.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
15b41975f551d11ac4531d67aa38dcb5af123a0e6d669c92ca6459182461f4aa
|
|
| MD5 |
d789590379a919d43ce0b3ef646faaa4
|
|
| BLAKE2b-256 |
d1c647587b246f2d1de41eebac3467e9be827069f4adcf1546616a2eb76d61f5
|
File details
Details for the file gfpa-1.1.0-py3-none-any.whl.
File metadata
- Download URL: gfpa-1.1.0-py3-none-any.whl
- Upload date:
- Size: 8.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
320be723946a78042432a783b55ba11cdd577e8438e835086abbf586dd49a3b4
|
|
| MD5 |
c7fa3e36faaf9c38d3498cffb5626678
|
|
| BLAKE2b-256 |
8256f9e729e2c2235cbb09e106b3689455785bf9e52a16f246890f63f58ffbde
|