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-0.1.2.tar.gz
(8.1 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-0.1.2.tar.gz.
File metadata
- Download URL: celldl-0.1.2.tar.gz
- Upload date:
- Size: 8.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d36f4b1c6f9bcd5499e081ba8a7c206177a5f4ce887f028424dcb4de483e9c81
|
|
| MD5 |
f71fd6092d153be3e167434b1e029124
|
|
| BLAKE2b-256 |
5e2025ed22ad95ed904ea278076b7c11785384ab02e47005ea6de9844e272a40
|
File details
Details for the file celldl-0.1.2-py3-none-any.whl.
File metadata
- Download URL: celldl-0.1.2-py3-none-any.whl
- Upload date:
- Size: 5.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
86c5b02eddf66fd9e5f5fe1db7708d06ec5e5e41a4124aabc652b829b28c8b11
|
|
| MD5 |
07cbcb724393aa5e317a1087e0f420ba
|
|
| BLAKE2b-256 |
10255e94188cac1056f6fea5a49bc8ab4e29dfc36ba5085ff2e2dfa031cecce4
|
