| goCluster-class {goCluster} | R Documentation |
This class provides a skeleton for the linkage of clustering results with statistical analysis of functional annotation.
Objects can be created by calls of the form new("goCluster").
data:"clusterData", the
dataset that is going to be clustered.algo:"clusterAlgorithm", the
algorithm that is used for clustering.sign:"clusterSignif", the
function to estimate the significance of clusters based on the
analysis of the associated annotation data.visu:"clusterVisual", which
provides methods to visualize of the results.signature(object = "goCluster"): interactive
setup of the class. signature(object = "goCluster"): returns the
configuration as a list. This list can again be used for the
non-interactive setup of the class. signature(object = "goCluster"):
non-interactive setup of the class. The option are specified using
a list. signature(object = "goCluster"): run goCluster as
specified during setup. signature(object = "goCluster"): run goCluster
with the setting given as value to the assignment. signature(object = "goCluster"): reset all
results that were obtained during the last run of goCluster. Gunnar Wrobel, http://www.gunnarwrobel.de.
clusterAnnotation-class,
clusterData-class,
clusterAlgorithm-class,
clusterStatistic-class,
clusterSignif-class,
clusterVisual-class,
config,
setup,
setup<-,
execute,
execute<-,
reset
.
## Load the configuration and create a new
## goCluster object
data(benomylsetup)
test <- new("goCluster")
## Perform the analysis by using the execute<- method
execute(test) <- benomylsetup