computeCount.BigBang

BigBang.computeCount

computeCount,BigBang-method

computeCount

The <code>BigBang</code> object can save information about solutions that did not reach the <code>goalFitness</code>. <code>filter=="solutions"</code> ensures that only chromosomes that reach the <code>goalFitness</code> are considered. <code>fitlter=="none"</code> take all chromosomes. <code>filter=="nosolutions"</code> consider only no-solutions (for comparative purposes).

filter

Second level of filter. <code>subset</code> can be a vector specifying which filtered chromosomes are used. It can be a logical vector or a numeric vector (indexes in order given by <code>$bestChromosomes</code> in <code>BigBang</code> object variable).

subset

Compute the counts for every gene from a set of chromosomes.
 Internal method.

methods

internal

Build multivariate predictive models from large datasets
having far larger number of features than samples such as in
functional genomics datasets.
Trevino and Falciani (2006) <doi:10.1093/bioinformatics/btl074>.

Victor Trevino

galgo

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

Francesco Falciani

Copyright (C) The R Core Team 

Copyright (C) The R Foundation 

computeCount.BigBang function

Compute the counts for every gene from a set of chromosomes. — computeCount.BigBang

Compute the counts for every gene from a set of chromosomes.

computeCount.BigBang: Compute the counts for every gene from a set of chromosomes.

Description

Usage

Arguments

Value

See Also