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## Package de.jstacs.sequenceScores.statisticalModels.differentiable.mixture

Provides `DifferentiableSequenceScore`s that are mixtures of other `DifferentiableSequenceScore`s.

See:
Description

Class Summary
AbstractMixtureDiffSM | This main abstract class for any mixture scoring function (e.g.
MixtureDiffSM | This class implements a real mixture model.
StrandDiffSM | This class enables the user to search on both strand.
VariableLengthMixtureDiffSM | This class implements a mixture of `VariableLengthDiffSM` by extending `MixtureDiffSM` and implementing the methods of `VariableLengthDiffSM`.

Enum Summary
StrandDiffSM.InitMethod | This enum defines the different types of plug-in initialization of a `StrandDiffSM`.

## Package de.jstacs.sequenceScores.statisticalModels.differentiable.mixture Description

Provides `DifferentiableSequenceScore`s that are mixtures of other `DifferentiableSequenceScore`s. The abstract base of all mixtures is `AbstractMixtureDiffSM`, `MixtureDiffSM` provides a default implementation.

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