MEET (version 5.1.1)

correction.redundancy: Correction redundancy from the Finite Sample Size Effect

Description

Each training matrix is formed by a finite number of samples. The probability estimation error using the nucleotide frequency causes a bias on the uncertainty measurement

Usage

correction.redundancy(r, HXmax, Herror, finite)

Arguments

r

Length of the binding site

HXmax

Maximum entropy for N possible states

Herror

Error entropy for finit sample size effect

finite

Sample size

See Also

redundancy, entropy,CalculRedundancy, correction.entropy, correctionaprox

Examples

require("MEET")
data(TranscriptionFactor)
data(BackgroundOrganism)
data(RenyiOrder)
data(iicc)
Factortrans<-TranscriptionFactor
correction<-correction.entropy(q,p=nrow(Factortrans),long=1,iicc)
Herror<-slot(correction,"Herror")
HXmax<-iicc$HXmax
correction.redundancy(r=1,HXmax,Herror,finite=nrow(TranscriptionFactor))