fps
(Package: GABi) :
Fitness Proportional Selection
Performs selection step in GA process using fitness proportional selection.
● Data Source:
CranContrib
● Keywords:
● Alias: fps
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Wrapper to apply the genetic operators (crossover and mutation) in the GABi GA.
● Data Source:
CranContrib
● Keywords:
● Alias: reproduction
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getFitnesses.entropy
(Package: GABi) :
Entropy-based Bicluster Fitness Function
A fitness function for the GABi biclustering framework, based on the principle that the less likely a bicluster would be observed by chance, the more interesting it is to discover that bicluster.
● Data Source:
CranContrib
● Keywords:
● Alias: getFitnesses.entropy
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Performs mutation genetic operator in GABi genetic algorithm.
● Data Source:
CranContrib
● Keywords:
● Alias: mutation
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featureSelection.basic
(Package: GABi) :
Feature Selection for Block Biclusters in Binary Data
A feature selection function for the GABi biclustering framework, based on the definition of a bicluster as a block of consistently high values across a submatrix within a binary dataset.
● Data Source:
CranContrib
● Keywords:
● Alias: featureSelection.basic
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plotBicluster
(Package: GABi) :
Bicluster Visualization
Creates a heatmap contrasting the data values for a bicluster's features across the bicluster with those features' values across the remainder of the dataset.
● Data Source:
CranContrib
● Keywords:
● Alias: plotBicluster
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getFitnesses.basic
(Package: GABi) :
Basic Bicluster Fitness Function
A fitness function for the GABi biclustering framework, based on the simple principle that the larger the dense submatrix, the more interesting it is to discover.
● Data Source:
CranContrib
● Keywords:
● Alias: getFitnesses.basic
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GABi
(Package: GABi) :
Genetic Algorithm for Generalized Biclustering
A flexible framework for finding submatrices that are good manifestations of a user-specified pattern from within a numeric (often binary) matrix. The user-defined pattern is specified via feature selection and bicluster desirability evaluation functions (see details).
● Data Source:
CranContrib
● Keywords:
● Alias: GABi
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exchangeSols
(Package: GABi) :
Solution exchange between isolated GA subpopulations
The GABi genetic algorithm employs an 'island' model, in which distinct subpopulations are allowed to evolve in isolation of each other. In order to avoid total isolation, subpopulations may periodically exchange a solution with each other.
● Data Source:
CranContrib
● Keywords:
● Alias: exchangeSols
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Performs crossover genetic operator in GABi genetic algorithm.
● Data Source:
CranContrib
● Keywords:
● Alias: crossover
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providing 
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