Uses of Interface
de.jstacs.motifDiscovery.Mutable

Packages that use Mutable
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.directedGraphicalModels Provides DifferentiableStatisticalModels that are directed graphical models. 
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture Provides DifferentiableSequenceScores that are mixtures of other DifferentiableSequenceScores. 
 

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

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable that implement Mutable
 class MappingDiffSM
          This class implements a DifferentiableStatisticalModel that works on mapped Sequences.
 class MarkovRandomFieldDiffSM
          This class implements the scoring function for any MRF (Markov Random Field).
 class NormalizedDiffSM
          This class makes an unnormalized DifferentiableStatisticalModel to a normalized DifferentiableStatisticalModel.
 

Uses of Mutable in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels
 

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels that implement Mutable
 class MarkovModelDiffSM
          This class implements a AbstractDifferentiableStatisticalModel for an inhomogeneous Markov model.
 

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

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture that implement Mutable
 class StrandDiffSM
          This class enables the user to search on both strand.