CellDL: Defining Cell Identity by Learning Transcriptome Distributions from Single-Cell Data
Project description
The author of this package has not provided a project description
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
celldl-0.1.3.tar.gz
(8.2 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
File details
Details for the file celldl-0.1.3.tar.gz.
File metadata
- Download URL: celldl-0.1.3.tar.gz
- Upload date:
- Size: 8.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2d5f9533aca56c68ea1c568ece0a209019c478925cad897152fb9525cba2d327
|
|
| MD5 |
0bf02375be89ca2c3f090c92eb00a1d0
|
|
| BLAKE2b-256 |
5fa808915f1d4366bc4f124dff0611e2fa3fa5d07cae4de720374c10dd484b9e
|
File details
Details for the file celldl-0.1.3-py3-none-any.whl.
File metadata
- Download URL: celldl-0.1.3-py3-none-any.whl
- Upload date:
- Size: 6.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5c4b27de174279845f94097291b54d9a16d88f82f2b317e8328efa62c59e0d52
|
|
| MD5 |
04fb1f5a20facdebf361eb8b2090903c
|
|
| BLAKE2b-256 |
e8aff940f61be94ac0b96fa5cee5b30b4236813f22d4ab9aa6aefdd2493adeeb
|
