kfold.MDscan: Leave-one-out cross-validation for MDscan.
In MEET: MEET: Motif Elements Estimation Toolkit
Description
Usage
Arguments
Author(s)
See Also
Description
Given a training sequence set, the optimal length and number motif has been estimated by means of leave-one-out cross-validation from length and number motif set. From each value, the ROC curve has been calculated. From this results, the optimal value has been considered according to the area under conver surface maximum
Usage
1
kfold.MDscan(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
Author(s)
Erola Pairo <epeiroatibec.pcb.ub.es> and Joan Maynou <joan.maynouatupc.edu>
See Also
kfold.Divergence, kfold.Entropy, kfold.MEME, kfold.MATCH and kfold.PCA
MEET documentation built on May 2, 2019, 1:45 p.m.
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Description Usage Arguments Author(s) See Also
Description
Given a training sequence set, the optimal length and number motif has been estimated by means of leave-one-out cross-validation from length and number motif set. From each value, the ROC curve has been calculated. From this results, the optimal value has been considered according to the area under conver surface maximum
Usage
1 | kfold.MDscan(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 |
Author(s)
Erola Pairo <epeiroatibec.pcb.ub.es> and Joan Maynou <joan.maynouatupc.edu>
See Also
kfold.Divergence, kfold.Entropy, kfold.MEME, 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.
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