| GenomeModels-class {pint} | R Documentation |
Collection of dependency models fitting two data sets in whole genome. The dependency models are in a list of ChromosomeModelss (which represents each chromosome) that have a list of dependency models in that chromosomal arm.
Function
screen.cgh.mrna and screen.cgh.mir returns an object of this class.
a list of ChromosomeModels of all chromosomes
a string with name of the method used in dependency model
a list of parameters of the method
signature(x = "GenomeModels"): Returns a
ChromosomeModels from the list. X and Y
chromosomes can be accessed with 23 and 24 or
'X' and 'Y'
signature(x = "GenomeModels"): Attaches a
ChromosomeModels to the list. X and Y chromosomes
can be accessed with 23 and 24 or 'X' and
'Y'
signature(model = "GenomeModels"):
Returns the name of the used method
signature(model = "GenomeModels"): Returns a
list of used parameters for the method
signature(model = "GenomeModels"): Returns the chromosome
signature(model = "GenomeModels"):
Returns the size of the window used in the dependency models.
signature(model = "GenomeModels"):
Returns the total number of the dependency models.
signature(model = "GenomeModels", num
= "numeric"): Returns a vector of given number of names of the
genes which have the highest dependency score. With default value
num = NA returns all the genes.
signature(model = "GenomeModels", num
= "numeric"): Returns a list with given number of dependency models
which have the highest dependency score. By default returns one model.
signature(model = "GenomeModels"):
Returns a data frame with gene names and their model scores sorted
signature(model = "GenomeModels"):
Finds a dependency model by gene name and returns it.
signature(x = "GenomeModels"):
converts dependency models as a dataframe with eachs row representing a dependency model for one gene.
The columns are: geneName,dependencyScore,chr,arm,loc
Olli-Pekka Huovilainen
For calculation of dependency models for chromosomal arm:
screen.cgh.mrna. This class holds a number of
GeneDependencyModel in each ChromosomeModels. For plotting
dependency scores see dependency score plotting.