Genetic Algorithms for Multivariate Statistical Models from Large-Scale Functional Genomics Data


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Documentation for package ‘galgo’ version 1.4

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galgo-package Galgo perform feature selection from large scale data.
ALL Acute Lymphoblastic Leukemia data (Yeoh et. al., 2002) for GALGO package
ALL.classes Acute Lymphoblastic Leukemia data (Yeoh et. al., 2002) for GALGO package
as.list Convert a variable of class Object to a list
as.list.Object Convert a variable of class Object to a list
Bag A list-like Object
BigBang Represents the ensemble of the results of evolving several Galgo objects
Chromosome The representation of a set of genes for genetic algorithms
classPrediction Function used to predict class evaluating a fitness function in many train-test sets
configBB.VarSel Creates and configure all objects needed for a "variable selection for classificacion" problem
configBB.VarSelMisc Creates and configure all objects needed for a "variable selection" problem
fitness Function used to evaluate a chromosome
Galgo The representation of a Genetic Algorithm
galgo Galgo perform feature selection from large scale data.
galgo.dist Computes the distance in GALGO for KNN based methods
Gene The representation of a gene in a chromosome for genetic algorithms
geneBackwardElimination Searches for shorter or better models using backward elimination strategy
generateRandomModels Generates Random shorter models
knn_C_predict Class prediction using KNN method calling the C code
knn_R_predict Class prediction using KNN method calling the R code
loadObject Load saved data of class Object and use reObject as necessary
mlhd_C_predict Class prediction using Maximum Likelihood Discriminant Functions method calling the C code
mlhd_R_predict Class prediction using Maximum Likelihood Discriminant Functions method calling the R code
modelSelection Function used to evaluate a fitness function in many train-test sets
nearcent_C_predict Class prediction using the nearest centroid method calling the C code
nearcent_R_predict Class prediction using the nearest centroid method calling the R code
Niche The representation of a set of chromosomes for genetic algorithms
nnet_R_predict Class prediction using the neural networks method calling the R code
randomforest_R_predict Class prediction using RandomForest method calling the R code
reObject Creates proper extended Object from a list obtained by unObject
robustGeneBackwardElimination Searches for shorter or better models using backward elimination strategy
rpart_R_predict Class prediction using the recursive tree partitions method calling the R code
runifInt Generation of random uniform integer values
svm_C_predict Class prediction using support vector machines method calling the C/R code
svm_R_predict Class prediction using support vector machines method calling the R code
unObject Converts variables from class Object (and derived classes) to list
unObject.list Converts variables from class Object (and derived classes) to list
unObject.Object Converts variables from class Object (and derived classes) to list
World The representation of a set of niches with migration for genetic algorithms