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
Project details
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-0.0.4.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-0.0.4-py3-none-any.whl
(7.7 kB
view details)
File details
Details for the file jMF2D-0.0.4.tar.gz.
File metadata
- Download URL: jMF2D-0.0.4.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 |
7aeefb3b359c94506ed3b479ffc6bc8b37aa4a710024d5f4b48c1a60812f2493
|
|
| MD5 |
4ecc4e9f8b9a91b2f417d635be1b0c8e
|
|
| BLAKE2b-256 |
c4958dbd36527b4678ef3a7b1c5a1e134385e5cb798a5da426e86dc38e2360cd
|
File details
Details for the file jMF2D-0.0.4-py3-none-any.whl.
File metadata
- Download URL: jMF2D-0.0.4-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 |
7b58780ae2ed4f1e0c6ce59afc7ee66a6677bd6d8e15e8a0b11500c72f530c57
|
|
| MD5 |
9c47d0d7a78692499786cba1afc8b805
|
|
| BLAKE2b-256 |
1c4323e7f976a40e95f8e53ead058aebed6b766da2dfd1eb4ed7559222739b7b
|