kfold.Divergence: Leave-one-out cross-validation for parametric divergence...
In MEET: MEET: Motif Elements Estimation Toolkit
Description
Usage
Arguments
Details
Author(s)
See Also
Description
Given a training sequence set, the optimal value for parametric divergence has been estimated by means of leave-one-out cross-validation from q-value set. For each q-value, the ROC curve has been calculated. From this results, the optimal q-value has been considered according to the area under convex surface maximum.
Usage
1
kfold.Divergence(iicc, TF)
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)
TF
A set of nucleotide sequences
Details
This function integrates the Mutual information (Renyi Order equal 1) and parametric divergence (Renyi Order different 1). Moreover, it contains a set of function for the detection of transcription factor binding sites:correction.entropy.R, correction.redundancy.R, entropy.shannon.R, entropy.renyi.R, entropy.corrected.R, probability.R, CalculRedundancy.R, diff.instructions.R, redundancy.R, ROCmodel.R, detector_2nOrdre.R, pvalue.R.
Author(s)
Joan Maynou <joan.maynouatupc.edu>
See Also
kfold.Entropy, kfold.MEME, kfold.MDscan, kfold.MATCH and kfold.PCA
MEET documentation built on May 2, 2019, 1:45 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Author(s) See Also
Description
Given a training sequence set, the optimal value for parametric divergence has been estimated by means of leave-one-out cross-validation from q-value set. For each q-value, the ROC curve has been calculated. From this results, the optimal q-value has been considered according to the area under convex surface maximum.
Usage
1 | kfold.Divergence(iicc, TF)
|
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) |
TF |
A set of nucleotide sequences |
Details
This function integrates the Mutual information (Renyi Order equal 1) and parametric divergence (Renyi Order different 1). Moreover, it contains a set of function for the detection of transcription factor binding sites:correction.entropy.R, correction.redundancy.R, entropy.shannon.R, entropy.renyi.R, entropy.corrected.R, probability.R, CalculRedundancy.R, diff.instructions.R, redundancy.R, ROCmodel.R, detector_2nOrdre.R, pvalue.R.
Author(s)
Joan Maynou <joan.maynouatupc.edu>
See Also
kfold.Entropy, kfold.MEME, kfold.MDscan, kfold.MATCH and kfold.PCA
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.