predSVM

The input value to which output is needed.

feature

Calculate the decision value of an SVM model. Note this is different from the actual
prediction which is either 0 or 1, while decision values go from -1 to 1.
(taken from [Zizen 2009] supplementary code)

Distinguish direct from indirect interactions in gene
regulation and infer combinatorial code from highly correlated
variables such as transcription factor binding profiles. The
package implements the Neighbourhood Consistent PC algorithm
(NCPC) and draws Direct Dependence Graphs to represent
dependence structure around a target variable. The package also
provides a unified interface to other Graphical Modelling
(Bayesian Network) packages for distinguishing direct and
indirect interactions.

predSVM: Calculate the decision value of an SVM model

Description

Usage

Arguments

Value