CORNETO #
Unified knowledge-driven network inference framework
Get started with CORNETO by following our installation guide for different setups and requirements.
Learn what CORNETO is and how you can use it to create and modify biological network problems.
Examples using CORNETO to leverage the power of complex biological networks on real-world data.
Python API reference for CORNETO.
Version: 1.0.0b7
What is CORNETO?#
CORNETO (Constraint-based Optimization for the Reconstruction of NETworks from Omics) is a package for unified biological network inference and contextualisation from prior knowledge, developed and maintained by the Saez-Rodriguez Lab. The library is designed with minimal dependencies and is easily extendable, making it a powerful tool for both end-users and developers.
To install CORNETO, we recommend creating a conda environment and installing the research flavor:
conda create -n corneto python>=3.10
conda activate corneto
conda install python-graphviz
pip install corneto[research]
For minimal installation or other options, see our installation guide.
Acknowledgements#
CORNETO is developed at the Institute for Computational Biomedicine (Heidelberg University). The development of this project is supported by European Union’s Horizon 2020 Programme under PerMedCoE project (permedcoe.eu) agreement no. 951773 and DECIDER (965193).
