drawHeatmap {biclust} | 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.\
parallelCoordinates
for 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)