An efficient triple non-negative matrix factorisation method for integrative analysis of single-cell multiomics data
Project description
#Overview:TriTan is a Python package that provides an efficient joint factorisation method for single-cell multi-omics data.
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
TriTan-1.1.1.tar.gz
(4.8 kB
view details)
Built Distribution
File details
Details for the file TriTan-1.1.1.tar.gz
.
File metadata
- Download URL: TriTan-1.1.1.tar.gz
- Upload date:
- Size: 4.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a787e54dd85582b5ced43e4f554c992064011d64fab67fd7221d74a47ec644ab |
|
MD5 | 5302c8e9aff970444a272333cf47044b |
|
BLAKE2b-256 | 2a1d97d2d2d91068c0973b06f68ccb0d7cabd4791ce9567f16b980176ad2f306 |
File details
Details for the file TriTan-1.1.1-py3-none-any.whl
.
File metadata
- Download URL: TriTan-1.1.1-py3-none-any.whl
- Upload date:
- Size: 5.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9139799b502c65fc3e5d366fbf90fd631356129b6ac69acd0443b33cfc1fd34f |
|
MD5 | 3bf6290fb602a7f1ab3e194aeb762a6e |
|
BLAKE2b-256 | 21c0b7e2fc8a66d53caa8eb870988fe7ac3ad035c1f36c3d9d19b922df7ce6df |