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BcDiag (version 1.0.10)

exploreBic: 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).

Value

Summary plot will display according to the user specification.

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.

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

Run this code
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")

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