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#' An S4 class to represent a CopyNumberBreakPoints object.
#'
#' @slot segmDiff A matrix with breakpoints based on segment values
#' @slot callDiff A matrix with breakpoints based on call values
#' @slot segments A matrix with segmented copy number values
#' @slot calls A matrix with copy number calls
#' @slot featureAnnotation A dataframe with predefined information about the features (usually probes or bins)
#' @slot featureData A dataframe with calculated information about the features (usually probes or bins)
#'
#' @section Accessors:
#' \itemize{
#' \item callData( object ) Returns feature call values
#' \item segmentData( object ) Returns feature segment values
#' \item breakpointData( object ) Returns feature breakpoint values
#' \item sampleNames( object ) Returns vector with sample names
#' \item namesFeatures( object ) Returns vector with feature names
#' \item featureChromosomes( object ) Returns vector of feature chromosomes
#' \item featureInfo( object ) Returns feature data/information
#' }
#'
#' @section Methods:
#' \itemize{
#' \item getBreakpoints Builds the \linkS4class{CopyNumberBreakPoints} object from copynumber data and detects breakpoint locations
#' \item bpFilter Selects breakpoints by filter criteria options
#' \item bpStats Applies cohort-based statistics to identify chromosomal locations that are recurrently affected by breakpoints
#' \item bpPlot Plots breakpoint frequencies per chromosome
#' }
#'
#' @author E. van den Broek and S. van Lieshout
#' @examples
#' data( copynumber.data.chr20 )
#' data( ens.gene.ann.hg18 )
#' bp <- getBreakpoints( copynumber.data.chr20 )
#' bp <- bpFilter( bp )
#' bp <- bpStats( bp , level = 'feature' , method = 'BH' )
#' bpPlot( bp, c(20) )
CopyNumberBreakPoints <- setClass(
'CopyNumberBreakPoints',
slots = c(
segmDiff = "matrix",
callDiff = "matrix",
calls = "matrix",
segments = "matrix",
breakpoints = "matrix",
featureAnnotation = "data.frame",
featureData = "data.frame"
),
prototype=list(
segmDiff = matrix(),
callDiff = matrix(),
calls = matrix(),
segments = matrix(),
breakpoints = matrix(),
featureAnnotation = data.frame(),
featureData = data.frame()
)
)
#' An S4 class to represent a CopyNumberBreakPointGenes object
#'
#' @slot geneAnnotation A data.frame with original gene annotation input
#' @slot geneData A data.frame with gene information added by package methods
#' @slot featuresPerGene A list with the associated features per gene
#' @slot breakpointsPerGene A matrix with breakage status per gene
#'
#' @section Accessors:
#' \itemize{
#' \item \code{callData( object )} Returns feature call values:
#' \item \code{segmentData( object )} Returns feature segment values
#' \item \code{breakpointData( object )} Returns feature breakpoint values
#' \item \code{sampleNames( object )} Returns vector with sample names
#' \item \code{namesFeatures( object )} Returns vector with feature names
#' \item \code{featureChromosomes( object )} Returns vector of feature chromosomes
#' \item \code{featureInfo( object )} Returns feature data/information
#' \item \code{geneChromosomes( object )} Returns vector of gene chromosomes
#' \item \code{geneInfo( object )} Returns gene data/information
#' \item \code{featuresPerGene( object )} Returns a list of genes with coupled features
#' \item \code{breakpointsPerGene( object )} Returns gene break status
#' \item \code{recurrentGenes( object )} Returns recurrently broken genes
#' }
#'
#' @section Methods:
#' \itemize{
#' \item getBreakpoints Builds the \linkS4class{CopyNumberBreakPoints} object from copynumber data and detects breakpoint locations
#' \item bpFilter Selects breakpoints by filter criteria options
#' \item addGeneAnnotation Maps features to gene locations
#' \item bpGenes Indentifies genes affected by breakpoint locations
#' \item bpStats Applies cohort-based statistics to identify genes and/or chromosomal locations that are recurrently affected by breakpoints
#' \item bpPlot Plots breakpoint frequencies per chromosome
#' }
#'
#' @author E. van den Broek and S. van Lieshout
#' @examples
#' data( copynumber.data.chr20 )
#' data( ens.gene.ann.hg18 )
#' bp <- getBreakpoints( copynumber.data.chr20 )
#' bp <- bpFilter( bp )
#' bp <- addGeneAnnotation( bp, ens.gene.ann.hg18 )
#' bp <- bpGenes( bp )
#' bp <- bpStats( bp )
#' bpPlot( bp, c(20) )
CopyNumberBreakPointGenes <- setClass(
'CopyNumberBreakPointGenes',
contains = 'CopyNumberBreakPoints',
slots = c(
geneAnnotation = "data.frame",
geneData = "data.frame",
featuresPerGene = "list",
breakpointsPerGene = "matrix"
),
prototype=list(
geneAnnotation = data.frame(),
geneData = data.frame(),
featuresPerGene = list(),
breakpointsPerGene = matrix()
)
)
# EOF
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