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#' Statistics used to build anti-profiles
#'
#' This class stores statistics required to build anti-profiles.
#' Objects of this class should be built using the \code{\link{apStats}} function.
#' To build anti-profiles from objects of this class, use the \code{\link{buildAntiProfile}} function.
#'
#' @section FIXME:
#' ## usage
#' ## Accessors
#' getProbeStats(object)
#'
#' @seealso \code{\link{apStats}} to construct objects of this class, \code{\link{buildAntiProfile}} to build anti-profiles from objects of this class.
#'
#' @name AntiProfileStats-class
#' @rdname antiprofilestats-class
#' @author Hector Corrada Bravo \email{hcorrada@@gmail.com}
#' @examples
#' if (require(antiProfilesData)) {
#' data(apColonData)
#' colonStats = apStats(exprs(apColonData), pData(apColonData)$Status)
#' show(getProbeStats(colonStats))
#' }
#'
#' @export
setClass("AntiProfileStats",
representation=representation(probes="data.frame",
normalTissues="character",
cancerTissues="character",
call="call",
sd0="matrix",
sd1="matrix",
p0="matrix",
p1="matrix",
tMeds="matrix",
tMads="matrix",
tProps0="matrix",
tProps1="matrix"))
#' A gene expression anti-profile
#'
#' This class encapsulates anti-profiles.
#' Objects of this class should be built from \code{\linkS4class{AntiProfileStats}} objects using the \code{\link{buildAntiProfile}} method.
#' Anti-profile scores can be computed for new samples using the \code{\link{apCount}} method.
#'
#' @section FIXME:
#' ## usage
#' ## Accessors
#'
#' getProbesetIds(object)
#' getNormalRegions(object)
#'
#' @seealso \code{\linkS4class{AntiProfileStats}} for the class of objects from which anti-profiles are built. \cite{\link{buildAntiProfile}}
#' for the method used to construct objects of this class. \code{\link{apCount}} for the function used to calculate anti-profile scores from
#' objects of this class.
#'
#' @author Hector Corrada Bravo \email{hcorrada@@gmail.com}
#' @examples
#' if (require(antiProfilesData)) {
#' data(apColonData)
#' colonStats=apStats(exprs(apColonData), pData(apColonData)$Status)
#' colonAP = buildAntiProfile(colonStats, tissueSpec=FALSE, sigsize=10)
#' show(colonAP)
#'
#' head(getProbesetIds(colonAP))
#' head(getNormalRegions(colonAP))
#' }
#' @name AntiProfile-class
#' @rdname antiprofile-class
#'
#' @export
setClass("AntiProfile",
representation=representation(probes="character",
meds0="numeric",
mads0="numeric",
cutoff="numeric",
filterFunc="character"))
#' A gene expression anti-profile using tissue-specific regions
#'
#' This class encapsulates anti-profiles with tissue-specific normal expression regions.
#' Objects of this class should be built from \code{\linkS4class{AntiProfileStats}} objects using the \code{\link{buildAntiProfile}} method.
#' Anti-profile scores can be computed for new samples using the \code{\link{apCount}} method.
#'
#' @section FIXME:
#' ## usage
#' ## Accessors
#'
#' getProbesetIds(object)
#' getNormalRegions(object)
#' getNormalTissueRegions(object)
#'
#' @seealso \code{\linkS4class{AntiProfileStats}} for the class of objects from which anti-profiles are built. \cite{\link{buildAntiProfile}}
#' for the method used to construct objects of this class. \code{\link{apCount}} for the function used to calculate anti-profile scores from
#' objects of this class.
#' #' @author Hector Corrada Bravo \email{hcorrada@@gmail.com}
#' @examples
#' if (require(antiProfilesData)) {
#' data(apColonData)
#' # fake tissues
#' tissue=rep(c("colon","lung"), len=length(sampleNames(apColonData)))
#' tissStats=apStats(exprs(apColonData), pData(apColonData)$Status, tiss=tissue, minL=3)
#' tissAP=buildAntiProfile(tissStats, sigsize=10)
#' show(tissAP)
#'
#' head(getProbesetIds(tissAP))
#' head(getNormalRegions(tissAP))
#' head(getNormalTissueRegions(tissAP))
#' }
#' @name TissueSpecAntiProfile-class
#' @rdname tissuespecantiprofile-class
#' @export
setClass("TissueSpecAntiProfile",
contains="AntiProfile",
representation=representation(tMeds="matrix",
tMads="matrix",
theTiss="list"))
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