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. signature(object = "goCluster")
: calls the
display function of the clusterVisual object defined for the
goCluster anaylsis. signature(object = "goCluster")
: calls the print
function on each of the defined sub-objects. The output is being
concatenated and returned to the user.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