Acknowledgments¶

Funding¶

This work was supported by the EU project EVENFLOW under Horizon Europe agreement No. 101070430.

Research Institutions¶

We gratefully acknowledge the Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) for providing access to high-performance computing resources that were essential for the development and validation of this framework, for their continued support in computational biology research and for fostering an environment of scientific excellence.

We thank NCSR Demokritos for their support and collaboration in this project.

Data Sources¶

We acknowledge the following data sources:

• The Cancer Genome Atlas (TCGA) for providing the cancer genomics data
• Reactome for pathway annotations
• MSigDB for gene set collections (KEGG pathways)

Open Source Community¶

This project builds upon numerous open-source Python libraries and tools. We thank the developers and maintainers of:

• PyTorch and the deep learning community
• scikit-learn and the machine learning community
• pandas, numpy, and the scientific Python ecosystem
• GSEA (Gene Set Enrichment Analysis) tools
• All other dependencies listed in our requirements

Design Attribution¶

The repository logo is: Kidneys icons created by Smashicons - Flaticon

The views and opinions expressed in this documentation are those of the authors and do not necessarily reflect the official policy or position of the EVENFLOW project or the Barcelona Supercomputing Center.