#' @name plot.stats.as.heatmap
#' @aliases plot.stats.as.heatmap,StefansExpressionSet-method
#' @rdname plot-methods
#' @docType methods
#' @description create heatmap for each statistics table and each pvalue cutoff This function uses
#' @description internally the plot.heatmaps() function for each selected probeset list
#' @param x the StefansExpressionSet
#' @param pvalue a vector of pvalues to set as cut off
#' @param Subset no idear at the moment....
#' @param comp a list of comparisons to restric the plotting to (NULL = all)
#' @param Subset.name no idear what that should do here....
#' @param gene_centered collapse all genes with the same gene symbol into one value
#' @param collaps how to collapse the data if gene_centered
#' @param geneNameCol the name of the gene.symbol column in the annotation
#' @title description of function plot
#' @export
setGeneric('plot.stats.as.heatmap', ## Name
function ( x, pvalue=c( 0.1,1e-2 ,1e-3,1e-4,1e-5, 1e-6, 1e-7, 1e-8 ), Subset=NULL , Subset.name= NULL, comp=NULL, gene_centered=F, collaps=NULL,geneNameCol= "mgi_symbol") { ## Argumente der generischen Funktion
standardGeneric('plot.stats.as.heatmap') ## der Aufruf von standardGeneric sorgt für das Dispatching
}
)
setMethod('plot.stats.as.heatmap', signature = c ('StefansExpressionSet'),
definition = function ( x, pvalue=c( 0.1,1e-2 ,1e-3,1e-4,1e-5, 1e-6, 1e-7, 1e-8 ), Subset=NULL , Subset.name= NULL, comp=NULL, gene_centered=F, collaps=NULL,geneNameCol= "mgi_symbol") {
if ( !is.null(comp) ){
print ("At the moment it is not possible to reduce the plotting to one comparison only" )
return (x)
}
add = ''
orig.name = x@name
if ( gene_centered ) {
add = 'GenesOnly'
}
if ( ! is.null(collaps)){
if ( nchar(add) > 1 ){
add = paste( 'mean', add, sep='_')
}else{
add = 'mean'
}
}
if ( ! is.null(Subset) ){
if ( is.null(Subset.name)){
Subset.name = 'subset_name_unset'
}
if ( nchar(add) > 1 ){
add = paste( add, Subset.name,sep='_')
}else{
add = Subset.name
}
}
if ( nchar(add) > 0 ){
x@name = paste( add,x@name, sep='_')
}
print ( x@name )
for (i in match( names(x@sig_genes), pvalue ) ){
try( plot.heatmaps(
x,
x@sig_genes[[i]],
names(x@sig_genes)[i],
analysis_name = paste (x@name, version),
gene_centered = gene_centered,
Subset = Subset,
collaps = collaps,
geneNameCol= geneNameCol
), silent=F)
}
x@name = orig.name
})
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