correctionaprox: Correction Entropy Approximate from the Finite Sample Size...

Description Usage Arguments Details Author(s) References See Also Examples

View source: R/correctionaprox.R

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 The approximation method is used for sample size is more than or equal to 50.

Usage

1
correctionaprox(x, matriu, s)

Arguments

x

Maximum entropy

matriu

A set of aligned nucleotide sequences.

s

Number of symbols

Details

Sample size has to be > 50.

Author(s)

Joan Maynou <joan.maynou@upc.edu>

References

T. D. Schneider, G. Stormo, L. Gold, and A. Ehrenfeuch, The information content of binding sites on nucleotide sequences, J. Mol. Biol., vol. 188, Nov. 1986.

See Also

entropy, redundancy, correction.redundancy, correction.entropy

Examples

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data(iicc)
s<-4
correctionaprox(x=iicc$HXmax,matriu=iicc$Transcriptionfactor,s) 

MEET documentation built on May 2, 2019, 5:52 p.m.