kfold.MDscan

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)

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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


MEET (Motif Elements Estimation Toolkit) is a R-package
that integrates a set of computational algorithms for the
detection of Transcription Factor Binding Sites (TFBS).

kfold.MDscan: Leave-one-out cross-validation for MDscan.

Description

Usage

Arguments

See Also