evaporative-cooling

Introduction 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. New Windows GUI version Quick Start for *nix command line FAQs Requirements Java, Fortran 90 compiler (f95, ifort, or the like). EC has been tested on Linux systems. The code should work on Windows or Mac given

winEC_April-27-2009
ArffConverter
EvaCooling.jar
gmon.out
lib
parf2
Readme.txt
XOR.1.out.reformat.arff
ArffConverter
FileConversionGUI.jar
README.TXT
test.arff
test.arff.reformat
test.arff.reformat.out