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Tip revision: d313e454f0f03d26eb1ecbd8885ebda4bc87f231 authored by Kevin R. Coombes on 13 July 2017, 14:35:59 UTC
version 2.1.3
Tip revision: d313e45
Package: GenAlgo
Version: 2.1.3
Date: 2016-07-12
Title: Classes and Methods to Use Genetic Algorithms for Feature
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <>
Depends: R (>= 3.0)
Imports: methods, stats, MASS, oompaBase (>= 3.0.1), ClassDiscovery
Suggests: Biobase, xtable
Description: Defines classes and methods that can be used
  to implement genetic algorithms for feature selection.  The idea is
  that we want to select a fixed number of features to combine into a
  linear classifier that can predict a binary outcome, and can use a
  genetic algorithm heuristically to select an optimal set of features.
License: Apache License (== 2.0)
LazyLoad: yes
biocViews: Microarray, Clustering
NeedsCompilation: no
Packaged: 2017-07-13 14:32:42 UTC; coom05
Repository: CRAN
Date/Publication: 2017-07-13 15:35:59 UTC
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