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

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

Description

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

Usage

## S3 method for class 'BigBang'
computeCount(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

counter vector

Author(s)

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

See Also

For more information see BigBang.

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