Evaporative cooling Evaporative cooling feature selection for genetic association studies
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association mining genetics genetic association mining software random forests

Evaporative cooling Description

Evaporative cooling feature selection for genetic association studies Evaporative cooling (EC) feature selection is a command-line data mining software implementation in Java and Fortran for filtering genetic association data. Evaporative cooling 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. The Evaporative cooling software has been tested on single-nucleotide polymorphism (SNP) data.For those with access to a cluster, the parallel version of the Evaporative cooling will be released soon. Requirements: · Java

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