LIBRA package
Project description
LIBRA - Machine Translation between paired Single-Cell Multi-Omics Data
Summary
LIBRA is a scalable toolkit for AI-Single-Cell data integration and prediction. It includes loading, clustering and visualization for either tasks. The Python-based implementation efficiently deals with big datasets as well as reduce the time requirements for multiple grid-base model trainings using parallelization.
Discuss usage on the Github. Read the documentation.
For further details, please refer to the online manuscript currently at biorxiv repository (will be updated asap). If LIBRA is useful for your research, consider citing us.
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
Built Distribution
File details
Details for the file sc_libra-0.0.48.tar.gz
.
File metadata
- Download URL: sc_libra-0.0.48.tar.gz
- Upload date:
- Size: 18.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8cf353a13ffd7108bdc2ed227578faf8cd2174e8525788327d25e2bde90ad2ae |
|
MD5 | d23c2751d300d5e31c2d0cda237b5dc8 |
|
BLAKE2b-256 | 088f7f300c49d595c91978c59ef259ec5d4d98f62e6c3684818b222d7c4cebf3 |
File details
Details for the file sc_libra-0.0.48-py3-none-any.whl
.
File metadata
- Download URL: sc_libra-0.0.48-py3-none-any.whl
- Upload date:
- Size: 14.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 910b8213727dfe2029703d2b1ed3cbf3fb214c79ecc1ce6c994bf92f9ee6e6e6 |
|
MD5 | 61000e37194a62205657b3a52734ce3e |
|
BLAKE2b-256 | 2b6d913e8a8fb925ff6fc5685ef132a3699420913cf49be33a55f22d6f337b62 |