| clusterSignifBonferroni-class {goCluster} | R Documentation |
This class provides a selection mechanism that uses Bonferroni correction before selecting interesting annotation terms.
The class provides a wrapper around the selectStatsBonferroni
function. Please read the corresponding documentation for further
details.
threshold:"numeric", the
threshold for selecting interesting annotation terms. This
threshold is applied to the Bonferroni corrected statistic
and any terms with a p-value lower than the threshold will be
returned.
Additional slots are described in the documentation of the
clusterSignif-class and clusterModule-class.
Class "clusterSignif", directly.
Class "clusterModule", by class "clusterSignif".
signature(object = "clusterSignifBonferroni"):
interactive setup of the class. You can set the threshold here.signature(object = "clusterSignifBonferroni"):
returns the configuration of the object as a list. This list can
be used for the non-interactive setup of this class. signature(object = "clusterSignifBonferroni"):
non-interactive setup of the class. You need to provide a list
that contains the necessary settings for the class. signature(object = "clusterSignifBonferroni"):
selects annotation terms that have a p-value lower than the given
threshold. signature(object = "clusterSignifBonferroni"):
resets the results of this class so that the selection process can
be run again. Gunnar Wrobel, http://www.gunnarwrobel.de.
selectStatsBonferroni,
goCluster-class,
clusterSignif-class,
clusterModule-class.
## FIXME: Add an example