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Python implementation of Bayesian iterative robust rank aggregation (BIRRA), based on Badgeley et al (2014) 'Hybrid Bayesian-rank integration approach improves the predictive power of genomic dataset aggregation' (https://academic.oup.com/bioinformatics/article/31/2/209/2364920).
pip install birra
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
birra publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
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PyPI lists 3 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.