getFrequencies.BigBang: Computes gene freqencies

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

Description

Computes gene freqencies.

Usage

## S3 method for class 'BigBang'
getFrequencies(o, filter="none", subset=TRUE, ...)

Arguments

filter	The BigBang object can save information about solutions that did not reach the goalFitness. filter=="solutions" ensures that only chromosomes that reach the goalFitness are considered. fitlter=="none" take all chromosomes. filter=="nosolutions" consider only no-solutions (for comparative purposes).
subset	Second level of filter. subset 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 $bestChromosomes in BigBang object variable).

Value

Returns a list of components.

new	Current gene count.
n	Number of genes in new.
nChr	Number of chromosomes counted.
ord	Decreasing order.
rnk	Rank (starting with maximum).

Author(s)

Victor Trevino. Francesco Falciani Group. University of Birmingham, U.K. http://www.bip.bham.ac.uk/bioinf

References

Goldberg, David E. 1989 Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Pub. Co. ISBN: 0201157675

See Also

For more information see BigBang. *geneFrequency().

galgo documentation built on May 2, 2019, 4:20 a.m.