get.used.features: Return the features used in a tree

In Pigengene: Infers biological signatures from gene expression data

Description

Only some of the features will be automatically selected and used in a decision tree. However, an object of class C5.0 does not have the selected feature names explicitly. This function parses the tree component and extracts the names of features contributing to the tree.

Usage

get.used.features(c5Tree)

Arguments

c5Tree

A decision tree of class 50

Value

A character vector of the names of features (module eigengenes) contributing to the input decision tree.

Author(s)

Amir Foroushani

See Also

Pigengene-package, make.decision.tree, compact.tree, compute.pigengene, module.heatmap, get.fitted.leaf, preds.at, Pigengene-package

Examples

     ## Data:
     data(aml)
     data(mds)
     data(pigengene)
     d1 <- rbind(aml,mds)

     ## Fiting the trees:
     trees <- make.decision.tree(pigengene=pigengene, Data=d1,
       saveDir="trees", minPerLeaf=15, doHeat=FALSE,verbose=3,
       toCompact=FALSE)
     get.used.features(c5Tree=trees$c5Trees[["15"]])

Pigengene documentation built on Nov. 8, 2020, 6:47 p.m.