exploreBic {BcDiag}

The exploreBic function

Description

Provides exploratory plots for biclustered and clustered data.

Usage

exploreBic(dset, bres, gby ="genes", pfor ="mean", mname ="biclust", bnum =1, 
fabia.thresZ=0.5,fabia.thresL=NULL)

Arguments

dset

data matrix.

bres

bicluster result.

gby

dimension to plot; 'genes' or 'conditions'.

pfor

plot for 'mean', 'median', 'variance', 'mad', 'all', or 'quant' (quantile).

mname

method name; 'biclust', 'isa2', 'fabia' or 'bicare'

bnum

existing biclusters; '1','2'...

fabia.thresZ

Bicluster threshold for mname="fabia". Threshold for sample belonging to bicluster; default 0.5.

fabia.thresL

Bicluster threshold for mname="fabia". Threshold for loading belonging to bicluster (if not given it is estimated).

Details

The exploreBic function is mainly used for exploratory data analysis. It provides summary plots for mean, median, variance, MAD and quantile plot.

The exploreBic function checks if the parameters are appropriately submitted and then identifies the biclusters submatrix and calculates its summary statistics. Finally, the results are displayed on the required plot.

Note that the "biclust" option for mname will also accept results from the packages iBBiG and rqubic.

Value

Summary plot will display according to the user specification.

Author(s)

Mengsteab Aregay [e-mail]

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.

See Also

exploreOnlybic

Examples

data(breastc)
# find bicluster using biclust package
library(biclust)
bic <- biclust(breastc,method=BCPlaid())
# Plot the mean of biclusterd and clustered genes parallely.
exploreBic(dset=breastc,bres=bic,gby="conditions",pfor="mean",mname="biclust")