jMF2D: Enhancing and accelerating cell type deconvolution of spatial transcriptomics with joint learning and non-negative matrix factorization
Project description
The author of this package has not provided a project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
jMF2D-0.0.3.tar.gz
(7.7 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
jMF2D-0.0.3-py3-none-any.whl
(7.7 kB
view details)
File details
Details for the file jMF2D-0.0.3.tar.gz.
File metadata
- Download URL: jMF2D-0.0.3.tar.gz
- Upload date:
- Size: 7.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.8.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c0a8ab2b6521ffba4a0de1a98608af23957b79c4515ea4358c56c4b5fb971bfd
|
|
| MD5 |
5da334d9740e4f553a381f3612812e95
|
|
| BLAKE2b-256 |
e81c515498500acfa9cf315d22452a0a9f926d676b020df661310f6e71c769a0
|
File details
Details for the file jMF2D-0.0.3-py3-none-any.whl.
File metadata
- Download URL: jMF2D-0.0.3-py3-none-any.whl
- Upload date:
- Size: 7.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.8.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
878385687728de0f316b90e8ace55f029f1ffb6fb12bdfed4da222d3c5421008
|
|
| MD5 |
52215f278022257365796c65c67f9b5f
|
|
| BLAKE2b-256 |
957792c2584c1429e2c618d7abd8def13e8f399a776b5764b383fe5960c644b8
|
