Single-Cell Genome-Wide Chromatin Accessibility
Project description
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
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
scgca-0.1.1.tar.gz
(23.3 kB
view details)
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
scgca-0.1.1-py3-none-any.whl
(30.6 kB
view details)
File details
Details for the file scgca-0.1.1.tar.gz.
File metadata
- Download URL: scgca-0.1.1.tar.gz
- Upload date:
- Size: 23.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bd31beb6f10395c47bd241aec408caefafc40f274bae2238d388f2dfa1576c46
|
|
| MD5 |
2d44aa9c1c8127479fc271e0ab8f3a06
|
|
| BLAKE2b-256 |
5baefaac72ceae2888dc008c3a7cbcae0cb870be09dea87df5b890752f8ec784
|
File details
Details for the file scgca-0.1.1-py3-none-any.whl.
File metadata
- Download URL: scgca-0.1.1-py3-none-any.whl
- Upload date:
- Size: 30.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f6826f7d8684d88fd9d67b69fe155c1a7fe178b9728012ccb46b25449dd82024
|
|
| MD5 |
50b501d4483ea33f26cc6d467f3b1739
|
|
| BLAKE2b-256 |
4e5c56627f9edd7b1f6e27c87c8591d32f28f7241d1a08f0cd593fe6e25574a3
|