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

Description Usage Arguments Author(s) See Also Examples

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

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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

Author(s)

Joan Maynou <joan.maynouatupc.edu>

See Also

redundancy, entropy,CalculRedundancy, correction.entropy, correctionaprox

Examples

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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))

MEET documentation built on May 2, 2019, 1:45 p.m.