#' Normalisation for peptide microarray data
#'
#' @param x MultiSet object with fMedian matrix in the assayData slot
#' @param method Character string specifying normalisation method.
#' Valid methods are 'none', 'scale', 'quantile' or 'LM'.
#' Defaults to 'none' if no method is specified.
#' @param ... additional arguments passed to scaleNorm or lmNorm
#' @return MultiSet object with normalised signal in the fMedian matrix
#'
#' @importFrom preprocessCore normalize.quantiles
#' @exportMethod arrayPairMA
#' @docType methods
#' @rdname arrayPairMA-methods
setGeneric(
name = "arrayPairMA",
def = function(x, ...) standardGeneric("arrayPairMA")
)
#' @rdname arrayPairMA-methods
#' @aliases arrayPairMA
setMethod(
f = "arrayPairMA",
signature = "MultiSet",
definition = function(x, p1, p2, method = "none", ...){
if (length(p1) != length(p2)){
stop("pair index vectors must be equal length")
}
}
)
#' @rdname arrayPairMA-methods
#' @aliases arrayPairMA
setMethod(
f = "arrayPairMA",
signature = "ExpressionSet",
definition = function(x, p1, p2, method = "none", ...){
if (length(p1) != length(p2)){
stop("pair index vectors must be equal length")
}
M <- list()
for (i in seq_along(p1)){
M[[i]] <- exprs(x)[ ,p2[i]] - exprs(x)[ ,p1[i]]
}
M <- as.data.frame(M)
}
)
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