PredictEntropy: PredictEntropy: Detection of Transcription Factor Binding...

In MEET: MEET: Motif Elements Estimation Toolkit

Description

Detection of transcription factor binding sites through parametric uncertainty measurement (Renyi entropy). This detection algorithm evaluates the variation on the total Renyi entropy of a set of sequences when a candidate sequence is assumed to be a true binding site belonging to the set.

Usage

PredictEntropy(iicc)

Arguments

iicc	A set of inicial conditions for the MEET-package (mode, method, background, alignment, threshold, parameters, Transcriptionfactor, nummotif, lenmotif, sentit, position, missing, vector, gapopen, maxiters, gapextend)

Details

This function contains a set of function for the detection of transcription factor binding sites:correction.entropy.R, correction.redundancy.R, entropy.R entropy.max.R, entropy.corrected.R, probability.R, CalculRedundancy.R, diff.ructions.R, redundancy.R missing.fun.R, ROC.R, detector_1rOrdre_diff.R, pvalue.R

Author(s)

Joan Maynou <[e-mail]>

References

J. Maynou, J.-J. Gallardo-Chacon, M. Vallverdu, P. Caminal, and A. Perera, Computational detection of transcription factor binding sites through differential renyi entropy, Information Theory, IEEE Transactions on, vol. 56, no. 2, pp.734, feb. 2010.

See Also

PredictDivergence, PredictMEME, PredictMDscan, PredictPCA, PredictMATCH

Examples

data(iicc)
PredictEntropy(iicc)

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