ClassifierParameters: An S4 class to store classifier parameters.

In rkuiper/geneClassifiers: Application of gene classifiers

Description

This class stores classifier related information This is information on probe-sets used and their weightings, means, standard deviations and covariance structure as observed in the classifiers training data, and the description of the procedure on how to preprocess new data prior to application of the classifier.

Slots

name

A character string indicating the name of the classifier

description

A short description of the classifier

citations

A character vector of citations to literature

normalizationMethod

A character string indicating the normalization method to apply

eventChain

A list of preprocessing steps

probeNames

A character vector

intercept

A numeric value

weights

A numeric vector

decisionBoundaries

A numeric vector with values that separate the risk-groups

doRun

A function which is called for the actual classification

means

A numeric vector of probe-set means as observed in the trainingsset (if available)

sds

A numeric vector of probe-set standard deviations as observed in the trainingsset (if available)

.geneClassifierVersion

An object of class package_version

rkuiper/geneClassifiers documentation built on July 15, 2019, 9:38 a.m.