Python LCS Implementations (GALE & GAssist) for SNP Environment



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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3 Responses to Python LCS Implementations (GALE & GAssist) for SNP Environment

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

  2. Arech says:

    There’s a wrong link for GALE file. It points to, while should point to

    Anyway, big thanks for sharing! I’ll try to use it in my studies…

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