<tt> <b>mhn</b> </tt> : a Python package for analyzing cancer progression with Mutual Hazard Networks
mhn can be installed from PyPI using pip and is available under the MIT License on GitHub (https://github.com/spang-lab/LearnMHN). Installation instructions and package functionalities are detailed on GitHub and PyPI, with a comprehensive guide on Read the Docs (https://learnmhn.readthedocs.io/en/latest/index.html) and a Jupyter notebook on GitHub to help users explore the package.
Authors
- Rainer Spang (ORCID: https://orcid.org/0000-0002-1326-4297)
- Tilo Wettig (ORCID: https://orcid.org/0000-0001-6732-9204)
- Niko Beerenwinkel (ORCID: https://orcid.org/0000-0002-0573-6119)
- Kevin Rupp (ORCID: https://orcid.org/0000-0002-4639-4717)
- Rudolf Schill (ORCID: https://orcid.org/0000-0003-4649-7190)
- Stefan Vocht
- Y. Linda Hu (ORCID: https://orcid.org/0009-0002-7263-3635)
- Andreas Lösch (ORCID: https://orcid.org/0000-0001-8546-2228)
- Lars Grasedyck (ORCID: https://orcid.org/0000-0001-7572-2604)
Institutions
- ETH Zurich (CH)
- University of Regensburg (DE)
- RWTH Aachen University (DE)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1093/bioadv/vbaf283
- Citations
- 1
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Science Foundation
- Deutsche Forschungsgemeinschaft
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung