| minimizeSelection {goCluster} | R Documentation |
Given a tree that holds significant annotation terms for a number of clusters, the function will reduce the selection of annotation terms in each node to the one with minimal p-value.
minimizeSelection(X, annotations)
X |
The tree of selected, significant annotations terms. |
annotations |
The number of annotations present in the tree. |
The tree, reduced to the annotation terms with minimal p-value.
Gunnar Wrobel, work@gunnarwrobel.de, http://www.gunnarwrobel.de.
namedv1 <- c(0.01,0.1)
names(namedv1) <- c("GeneA", "GeneB")
namedv2 <- c(0.01,0.01)
names(namedv2) <- c("GeneB", "GeneC")
namedv3 <- c(0.5,0.1)
names(namedv3) <- c("GeneD", "GeneE")
a <- list(annotationA = namedv1,
annotationB = namedv2,
annotationC = namedv3)
b <- list(list(a,a),list(a,a))
minimizeSelection(a,3)
minimizeSelection(b,3)