BcDiag (version 1.0.2)

profileBic: The profileBic function.

Description

Provides profile plots for biclusterd and clusterd data parallely.

Usage

profileBic(dset, bres, mname = c("fabia", "isa2", "biclust"), bplot = "all",
gby = "genes", bnum = 1, teta = 120, ph = 30)

Arguments

dset

Data matrix.

bres

Bicluster result.

mname

Method name; 'biclust', 'isa2' or 'fabia'

bplot

types of plots;'all','lines','boxplot','histogram' or '3D'

gby

grouped by; 'genes', or 'conditions'

bnum

Existed biclusters; '1','2'...

teta

numerical value to rotate the 3D; 0,90,180,..

ph

numerical value to rotate the 3D; 0,90,180

Value

• profile.bic (dset, bres, mname="biclust", bplot="all", gby="genes", bnum=1, teta=120, ph=30)

Details

The profile.bic function checks all parameters are correctly submitted then it calls a function indexedBic to identify the biclusterd and clusterd data.

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. Kaiser S. and Leisch F. (2008). A Toolbox for Bicluster Analysis in R. Ludwigstrasse. 33.

See Also

profileAll

Examples

#manupilate the biclust result
data(breastc)
bic<- biclust(breastc, method=BCPlaid())# 3 bicluster found.
#3D profile plot for biclusterd and clusterd data.
profileBic(dset=breastc,bres=bic,mname="biclust",
bplot="3D",gby="genes",teta=-30,ph=50,bnum=1)