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