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## Uses of Package
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif

Packages that use de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif
de.jstacs.sequenceScores.statisticalModels.differentiable | Provides all `DifferentiableStatisticalModel`s, which can compute the gradient with respect to their parameters for a given input `Sequence`.
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels | Provides `DifferentiableStatisticalModel`s that are directed graphical models.
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif |

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

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif used by de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels
DurationDiffSM This class is the super class for all one dimensional position scoring functions that can be used as durations for semi Markov models.

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif used by de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif
DurationDiffSM This class is the super class for all one dimensional position scoring functions that can be used as durations for semi Markov models.
ExtendedZOOPSDiffSM This class handles mixtures with at least one hidden motif.
MixtureDurationDiffSM This class implements a mixture of `DurationDiffSM`s.
PositionDiffSM This class implements a position scoring function that enables the user to get a score without using a Sequence object.
SkewNormalLikeDurationDiffSM This class implements a skew normal like discrete truncated distribution.

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