scGCA
Genomewide chromatin accessibility for single-cell data.
Installation
- Create a virtual environment
conda create -n scGCA python=3.10 scipy numpy pandas scikit-learn && conda activate scGCA
- Install PyTorch following the official instruction.
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126
- Install scGCA
pip3 install scGCA
1 maintainer
Metadata
1 maintainer
Release files for scGCA 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| scgca-0.1.1.tar.gz | 23.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scgca-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.9 kB
Release files / scgca-0.1.1.tar.gz
| Download URL | scgca-0.1.1.tar.gz |
|---|---|
| Size | 23.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.10.18
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Release files / scgca-0.1.1-py3-none-any.whl
| Download URL | scgca-0.1.1-py3-none-any.whl |
|---|---|
| Size | 30.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.18
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Security for scGCA 0.1.1
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