Evaporative cooling (EC) feature selection is a command-line data mining software implementation in Java and Fortran for filtering genetic association data. EC integrates Random Forests and Relief-F attribute importance measures in order to balance independent and interaction effects while removing attributes that are irrelevant to the phenotype. EC has been tested on single-nucleotide polymorphism (SNP) data. For those with access to a cluster, the parallel version of EC will be released soon.

Newer C++ Version updated April 27, 2012
Original Java Code Repository 2009