| clusterSignif-class {goCluster} | R Documentation |
An abstract class that provides a framework for the
significance analysis methods provided by goCluster.
This class provides a wrapper for the selection algorithms employed by
goCluster. The class provides a slot to hold the class that is being
used for the statistical analysis and a slot for the selected
annotation terms.
statset:"list", this slot
contains the statistical values that the class will use in order
to decide which annotation terms are interesting or not. This can
be a simple copy of the underlying clusterStatistic object
but it can as well hold corrected value depending on the function
of this class.selection:"list", this is the
list of elements that were selected by the algorithm as being
interesting.stat:"clusterStatistic", the
statistical method that is used to identify interesting
gene groups.
Additional slots are described in the documentation for the
clusterModule-class.
Class "clusterModule", directly.
signature(object = "clusterModule"):
This function does nothing since this is an abstract class.signature(object = "clusterModule"):
This function returns an empty list since this is an abstract
class.signature(object = "clusterModule"):
This function does nothing since this is an abstract class.signature(object = "clusterModule"):
This function does nothing since this is an abstract class.signature(object = "clusterModule"):
This function does nothing since this is an abstract class.signature(object = "clusterModule"):
This function resets the clusterset-slot to an empty list.signature(object = "clusterModule"):
This function does nothing since this is an abstract class.Gunnar Wrobel, work@gunnarwrobel.de, http://www.gunnarwrobel.de.
goCluster-class,
clusterModule-class,
clusterSignifBase-class,
clusterSignifBonferroni-class,
clusterSignifFDR-class