cleanUpdTSeq (version 1.10.2)

buildClassifier: get Naive Bayes Classifier

Description

Computes the conditional a-posterior probabilities of a categorical class variable given independent predictor variables using the Bayes rule.

Usage

buildClassifier(Ndata.NaiveBayes, Pdata.NaiveBayes,  upstream=40L, downstream=30L, wordSize=6L, genome=Drerio, alphabet=c("ACGT"))

Arguments

Ndata.NaiveBayes

This is the negative training data, described further in data.NaiveBayes.

Pdata.NaiveBayes

This is the positive training data, described further in data.NaiveBayes.

upstream

This is the length of upstream sequence to use in the analysis.

downstream

This is the length of downstream sequence to use in the analysis.

wordSize

This is the size of the word to use as a feature for the upstream sequence. wordSize = 6 should always be used.

genome

Name of the genome to use to get sequence. To find out a list of available genomes, please type available.genomes() in R.

alphabet

These are the bases to use, for example DNA bases ACTG.

Value

An object of class "naiveBayes".

See Also

naiveBayes

Examples

if (interactive()){
    data(data.NaiveBayes)
    classifier <- buildClassifier(data.NaiveBayes$Negative, data.NaiveBayes$Positive)
}