clusterComp-class {clusterStab} | R Documentation |
A specialized class representation used for testing the stability of clusters in microarray data.
Objects are usually created by a call to clusterComp
, although
technically objects can be created by calls of the form
new("clusterComp", ...)
. However, the latter is probably not
worth doing.
clusters
:"vector"
showing the
cluster membership for each sample when using all the data. percent
:"vector"
containing
the percentage of subsamples that resulted in the same class
membership for all samples. freq
:"vector"
containing the
subsampling percentage used. Defaults to 0.8. clusternum
:"vector"
containing
the number of clusters tested.iterations
:"vector"
containing
the number of iterations performed. Defaults to 100.method
:"vector"
containing the
agglomerative method used. Options include "average", "centroid",
"ward", "single", "mcquitty", or "median".signature(object = "clusterComp")
: Give a nice
summary of results. James W. MacDonald <jmacdon@med.umich.edu>
A. Ben-Hur, A. Elisseeff and I. Guyon. A stability based method for discovering structure in clustered data. Pacific Symposium on Biocomputing, 2002. Smolkin, M. and Ghosh, D. (2003). Cluster stability scores for microarray data in cancer studies. BMC Bioinformatics 4, 36 - 42.