ASTER: accurate estimation of cell-type numbers in single-cell chromatin accessibility data
Project description
ASTER provides an accurate and efficient way to estimate the number of cell types in single-cell chromatin accessibility data. We provide documentation in the form of functional application programming interface documentation, tutorials and example workflows at https://aster.readthedocs.io/en/latest/index.html. All ASTER wheels distributed on PyPI are MIT licensed.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
epiaster-0.0.7.tar.gz
(378.9 kB
view details)
File details
Details for the file epiaster-0.0.7.tar.gz.
File metadata
- Download URL: epiaster-0.0.7.tar.gz
- Upload date:
- Size: 378.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0a8c4567036ed1e6feca1dc22daa4533e120a22bccbc63a9219efc0eef8b85f6 |
|
| MD5 | 128d00082ef7fd4bf57d0b9bd8001b2e |
|
| BLAKE2b-256 | fca76fba64fc4eae60eea8aa8269edf069910889773571f18bdfca29a3665cb2 |
