Python LCS Implementations (GALE & GAssist) for SNP Environment

Posted on June 10, 2010 by docurbs

Urbanowicz_GALE_2010

Urbanowicz_GAssist_2010

The above .zip files contain open source python implementations of existing LCS algorithms (GALE & GAssist) written/modified to accommodate SNP (single nucleotide polymorphism) gene association studies. These are the implementations used in the following paper recently accepted at PPSN:

R.J. Urbanowicz, J.H Moore. The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis
in Association Studies. PPSN 2010

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One Response to Python LCS Implementations (GALE & GAssist) for SNP Environment

  1. Pingback: Xavier Llorà » Blog Archive » GAssist and GALE Now Available in Python

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