A toolkit for subcellular analysis of spatial transcriptomics data
Project description
Bento is a Python toolkit for performing subcellular analysis of spatial transcriptomics data.
Get started
Install with Python 3.8 or 3.9:
pip install bento-tools
Check out the documentation for the installation guide, tutorials, API and more! Read and cite our preprint if you use Bento in your work.
Main Features
- Store molecular coordinates and segmentation masks
- Visualize spatial transcriptomics data at subcellular resolution
- Compute subcellular spatial features
- Predict localization patterns and signatures
- Factor decomposition for high-dimensional spatial feature sets
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
bento-tools-1.0.1.tar.gz
(27.7 MB
view hashes)
Built Distribution
Close
Hashes for bento_tools-1.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 28ea8cb91cfd7fe89deea73ff7dfcf6ccd42097a883a8b1c44e7177255ae67d3 |
|
MD5 | 34776b3feac06ab88cc09955507850ad |
|
BLAKE2b-256 | 65b1afc296a1a5493f81ac56e6c690e0593dceed957e5606461133c47c4f0c45 |