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.
A character string indicating the name of the classifier
A short description of the classifier
A character vector of citations to literature
A character string indicating the normalization method to apply
A list of preprocessing steps
A character vector
A numeric value
A numeric vector
A numeric vector with values that separate the risk-groups
A function which is called for the actual classification
A numeric vector of probe-set means as observed in the trainingsset (if available)
A numeric vector of probe-set standard deviations as observed in the trainingsset (if available)
An object of class
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