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profileBic(dset, bres, mname = c("fabia", "isa2", "biclust","bicare"), bplot = "all",
gby = "genes", bnum = 1, teta = 120, ph = 30, fabia.thresZ=0.5,fabia.thresL=NULL,
BClabel=TRUE,gene.lines=NULL,condition.lines=NULL)
mname="fabia"
. Threshold for sample belonging to bicluster; default 0.5.mname="fabia"
. Threshold for loading belonging to bicluster (if not given it is estimated).TRUE
/FALSE
to show BC labels on the lines plot.bnum
. These gene profiles will be highlighted in the line plot (bplot='lines'
).bnum
. These condition profiles will be highlighted in the line plot (bplot='lines'
).Note that the "biclust"
option for mname
will also accept results from the packages iBBiG and rqubic.
Kaiser S. and Leisch F. (2008). A Toolbox for Bicluster Analysis in R. Ludwigstrasse. 33.
# create the biclustering result
data(breastc)
library(biclust)
bic<- biclust(breastc, method=BCPlaid())
# 3 biclusters found
# 3D profile plot for biclustered and clustered data.
profileBic(dset=breastc,bres=bic,mname="biclust",
bplot="3D",gby="genes",teta=-30,ph=50,bnum=1)
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