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
Hi!
There’s a wrong link for GALE file. It points to GAssist.zip, while should point to http://gbml.org/wp-content/uploads/2010/06/Urbanowicz_GALE_2010.zip
Anyway, big thanks for sharing! I’ll try to use it in my studies…
Thanks for the note! I just fixed the link.