Calculates an ensemble of biclusters from different parameter setting of possible different bicluster algorithms.
1 2 
x 
Data Matrix 
confs 
Matrix containing parameter sets 
rep 
Number of repetitions for each parameter set 
maxNum 
Maximum number of biclusters taken from each run 
similar 
Function to produce a similarity matrix of bicluster 
thr 
Threshold for similarity 
simthr 
Proportion of row column combinations in bicluster 
subs 
Vector of proportion of rows and columns for subsampling. Default c(1,1) means no subsampling. 
bootstrap 
Should bootstrap sampling be used (logical: replace=bootstrap). 
support 
Wich proportion of the runs must contain the bicluster to have enough support to report it (between 0 and 1). 
combine 
Function to combine the single bicluster only firstcome and hcl for hierarchical clustering are possible at the moment. 
... 
Arguments past to the combine function. 
Two different kinds (or both combined) of ensebmbling is possible. Ensemble of repeated runs or ensemble of runs on subsamples.
Return an object of class Biclust
Sebastian Kaiser sebastian.kaiser@stat.unimuenchen.de
Biclustclass
, plaid.grid
, bimax.grid
1 2 3 4 5 6  data(BicatYeast)
ensemble.plaid < ensemble(BicatYeast,plaid.grid()[1:5],rep=1,maxNum=2, thr=0.5, subs = c(1,1))
ensemble.plaid
x < binarize(BicatYeast)
ensemble.bimax < ensemble(x,bimax.grid(),rep=10,maxNum=2,thr=0.5, subs = c(0.8,0.8))
ensemble.bimax

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