minimizeSelection {goCluster} | R Documentation

## Reduces the leaves of a tree to minimal p-values

### Description

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.

### Usage

    minimizeSelection(X, annotations)

### Arguments

`X` | The tree of selected, significant annotations terms.
`annotations` | The number of annotations present in the tree.

### Value

The tree, reduced to the annotation terms with minimal p-value.

### Author(s)

Gunnar Wrobel, work@gunnarwrobel.de, http://www.gunnarwrobel.de.

### See Also

`clusterVisualHclust-class`

### Examples

    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)

[Package goCluster version 1.4.0 Index]