Metadata-Version: 2.4
Name: birra
Version: 0.1.1
Summary: 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).
Author-email: Jordan Taylor <jtaylor81284@gmail.com>
Keywords: python
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: <4.0,>=3.11
Requires-Dist: numpy==2.2.3
Requires-Dist: pysmooth==1.5.0
Requires-Dist: scipy==1.15.2
Description-Content-Type: text/markdown

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).