Epistasis Blog

From the Computational Genetics Laboratory at the University of Pennsylvania (www.epistasis.org)

Saturday, February 25, 2017

Relief Based Algorithms in Python

We have released a Python package for carrying out ReliefF-based feature selection that can be used for epistasis analysis using machine learning methods. Our ReBATE package is on GitHub. We have also released a version of this code that is compatible with the sci-kit learn machine learning library in Python. This is also available on GitHub.

For more information about ReliefF for epistasis analysis we recommend our book chapter on the subject.

Moore JH. Epistasis analysis using ReliefF. Methods Mol Biol. 2015;1253:315-25.