fit a plot for 'mean', 'median', 'variance', 'mad', 'all', or 'quantile'.
mname
Method name; 'biclust', 'isa2' or 'fabia'
bnum
Existed biclusters; '1','2'...
Value
Summary plot will display only for biclusterd data.
Details
The exploreOnlybic function has similar function with exploreBic. the only difference is, it provides exploratory plots only for biclusterd data. It provides summary plots for 'mean' 'median', 'variance', 'mad' and 'quantile plot'.
References
Van't Veer, L.J., Dai, H., van de Vijver, M.J., He, Y.D., Hart, A.A. et al. (2002). Gene expression profiling predicts clinical outcome of breast cancer,Nature, 415, 530-536.
Hochreiter, S., Bodenhofer, U., Heusel, M.et al. (2010).FABIA: factor analysis for bicluster acquisition. Bioinformatices, 26, 1520-1527.
data(breastc)
# find bicluster using fabia algorithmfab<- fabia(breastc)
# Plot the median of biclusterd data.exploreOnlybic(dset=breastc,bres=fab,fit="all",gby="genes",mname="fabia",bnum=1)