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

## Documentation for package ‘galgo’ version 1.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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