geneRankStability.BigBang {galgo} | R Documentation |
Computes the rank history for top-ranked genes
Description
Computes the rank history for top-ranked genes.
Usage
## S3 method for class 'BigBang'
geneRankStability(o,
filter="none",
subset=TRUE,
gene.names=TRUE,
lastSolutionFirst=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). If it is a numeric vector length one, a positive value means take those top chromosomes sorted by fitness, a negative value take those at bottom.
|
gene.names |
TRUE for naming the result with the stored $geneNames in oject BigBang . Other character to name-specific.
|
lastSolutionFirst |
Order of the results. TRUE the las solutions is given in the first column.
|
Value
A matrix which genes are fit in rows and solutions in columns.
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
.
Examples
#bb is a BigBang object
## Not run:
geneRankStability(bb)
## End(Not run)
[Package
galgo version 1.4
Index]