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-0.0.2.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-0.0.2-py3-none-any.whl
(7.7 kB
view details)
File details
Details for the file jMF2D-0.0.2.tar.gz.
File metadata
- Download URL: jMF2D-0.0.2.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 |
0c1cda673bbefd2fcdf79b151df946b45d8b07a778bdee9c0724432e6a1888db
|
|
| MD5 |
30b3d568591dc3888656dee55759e9b1
|
|
| BLAKE2b-256 |
e94bb64adfa52a22dbf61c70d497f73b90d895d042de6f1294d39ea6efdf56ec
|
File details
Details for the file jMF2D-0.0.2-py3-none-any.whl.
File metadata
- Download URL: jMF2D-0.0.2-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 |
cc946314ecb1379e885af194c2c1e0dd7178a7a0d1b8cd9ef63e983835e202cb
|
|
| MD5 |
5b306b9843784ce3700421b66ed5867b
|
|
| BLAKE2b-256 |
8fc93c4e8f4be3dfa19dd175c4172454cdc33ab7a6ab8787b64ccd525513ef55
|
