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


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Documentation for package `galgo' version 1.0-10

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A B C G K L M N R S U W

-- A --

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

-- B --

Bag A list-like Object
BigBang Represents the ensemble of the results of evolving several Galgo objects

-- C --

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

-- G --

Galgo The representation of a Genetic Algorithm
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

-- K --

knn.C.predict Class prediction using KNN method calling the C code
knn.R.predict Class prediction using KNN method calling the R code

-- L --

loadObject Load saved data of class Object and use reObject as necessary

-- M --

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

-- N --

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

-- R --

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 partiotions method calling the R code
runifInt Generation of random uniform integer values

-- S --

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

-- U --

unObject Converts variables from class Object (and derived classes) to list

-- W --

World The representation of a set of niches with migration for genetic algorithms