/bento-tools

A Python toolkit for subcellular analysis of spatial transcriptomics data

Primary LanguagePythonMIT LicenseMIT

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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

Bento Analysis Workflow

  • 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

GitHub license