Tysserand-fast and accurate reconstruction of spatial networks from bioimages

Networks provide a powerful framework to analyze spatial omics experiments. However, we lack tools that integrate several methods to easily reconstruct networks for further analyses with dedicated libraries. In addition, choosing the appropriate method and parameters can be challenging. We propose tysserand, a Python library to reconstruct spatial networks from spatially resolved omics experiments. It is intended as a common tool to which the bioinformatics community can add new methods to reconstruct networks, choose appropriate parameters, clean resulting networks and pipe data to other libraries.

Automated summary

tysserand is a Python library designed to reconstruct spatial networks from spatially resolved omics experiments. It serves as a common tool for the bioinformatics community, allowing for the integration of multiple methods, parameter selection, network cleaning, and data transfer to other libraries.