Uses of Interface
de.jstacs.motifDiscovery.MutableMotifDiscoverer

Packages that use MutableMotifDiscoverer
de.jstacs.motifDiscovery This package provides the framework including the interface for any de novo motif discoverer. 
de.jstacs.sequenceScores.statisticalModels.differentiable Provides all DifferentiableStatisticalModels, which can compute the gradient with respect to their parameters for a given input Sequence
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture Provides DifferentiableSequenceScores that are mixtures of other DifferentiableSequenceScores. 
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif   
 

Uses of MutableMotifDiscoverer in de.jstacs.motifDiscovery
 

Methods in de.jstacs.motifDiscovery with parameters of type MutableMotifDiscoverer
static boolean MutableMotifDiscovererToolbox.findModification(int clazz, int motif, MutableMotifDiscoverer mmd, DifferentiableSequenceScore[] score, DataSet[] data, double[][] weights, DiffSSBasedOptimizableFunction opt, DifferentiableFunction neg, byte algo, double linEps, StartDistanceForecaster startDistance, SafeOutputStream out, History hist, int minimalNewLength, boolean maxPos)
          This method tries to find a modification, i.e.
static void MutableMotifDiscovererToolbox.initMotif(int idx, int[] classIndex, int[] motifIndex, DataSet[] s, double[][] seqWeights, boolean[] adjust, MutableMotifDiscoverer[] mmd, int[] len, DataSet[] data, double[][] dataWeights)
          This method allows to initialize a number of motifs.
 

Uses of MutableMotifDiscoverer in de.jstacs.sequenceScores.statisticalModels.differentiable
 

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable that implement MutableMotifDiscoverer
 class IndependentProductDiffSM
          This class enables the user to model parts of a sequence independent of each other.
 class MappingDiffSM
          This class implements a DifferentiableStatisticalModel that works on mapped Sequences.
 

Uses of MutableMotifDiscoverer in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture
 

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture that implement MutableMotifDiscoverer
 class MixtureDiffSM
          This class implements a real mixture model.
 class VariableLengthMixtureDiffSM
          This class implements a mixture of VariableLengthDiffSM by extending MixtureDiffSM and implementing the methods of VariableLengthDiffSM.
 

Uses of MutableMotifDiscoverer in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif
 

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif that implement MutableMotifDiscoverer
 class ExtendedZOOPSDiffSM
          This class handles mixtures with at least one hidden motif.