| drawHeatmap | R Documentation | 
Draws a microarray data matrix as a heatmap, with rows and colums reordered so the rows and columns of the input bicluster will be at top-left of the matrix.
drawHeatmap(x,bicResult=NULL,number=NA,local=TRUE, beamercolor=FALSE,paleta,...)
drawHeatmap2(x,bicResult=NULL,number=NA,plotAll=FALSE)
x | 
 The data matrix where the bicluster is to be drawn.  | 
bicResult | 
 BiclustResult object with a bicluster result set. If this value is set to NULL, the data matrix is drawn as a heatmap, without any reordering. Default NULL.  | 
number | 
 Bicluster to be drawn from the result set 'bicResult'. If bicResult is set to NULL, this value is ignored. Default NA  | 
local | 
 If TRUE, only rows and columns of the bicluster were drawn.  | 
plotAll | 
 If TRUE, all Bicluster of result set 'bicResult' were drawn.  | 
beamercolor | 
 If TRUE, palete colors are used.  | 
paleta | 
 Colors  | 
... | 
 Additional plot options  | 
'plotAll' only works if there is a exclusive rows and column Result!
Rodrigo Santamaria rodri@usal.es, Sebastian Kaiser
bubbleplot for simultaneous representation of biclusters.\
parallelCoordinatesfor single representation of biclusters as lines of gene or condition profiles.
  #Random 100x50 matrix with a single, up-regulated 10x10 bicluster
  s2=matrix(rnorm(5000),100,50)
  s2[11:20,11:20]=rnorm(100,3,0.3)
  set.seed(1)
  bics <- biclust(s2,BCPlaid(), back.fit = 2, shuffle = 3, fit.model = ~m + a + b,
  iter.startup = 5, iter.layer = 30,  verbose = TRUE)
  drawHeatmap(s2,bics,1)
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