Towards the genome-scale discovery of bivariate monotonic classifiers
We provide the first open-source implementation for learning BMCs, a Python implementation of fastBMC in particular, and Python code to reproduce the fastBMC results on real and simulated data in this paper, at https://github.com/oceanefrqt/fastBMC .
Authors
- Carola Doerr (ORCID: https://orcid.org/0000-0002-4981-3227)
- Martin S. Krejca (ORCID: https://orcid.org/0000-0002-1765-1219)
- Benno Schwikowski (ORCID: https://orcid.org/0000-0001-5127-5619)
- Océane Fourquet (ORCID: https://orcid.org/0000-0002-8072-8119)
Institutions
- Centre National de la Recherche Scientifique (FR)
- École Polytechnique (FR)
- Institut Pasteur (FR)
- Université Paris Cité (FR)
- Sorbonne Université (FR)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-09-02
- DOI
- https://doi.org/10.1186/s12859-025-06253-7
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Horizon 2020 Framework Programme