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## Uses of Package
de.jstacs.sequenceScores.statisticalModels.trainable.mixture

Packages that use de.jstacs.sequenceScores.statisticalModels.trainable.mixture
de.jstacs.sequenceScores.statisticalModels.trainable | Provides all `TrainableStatisticalModel`s, which can be learned from a single `DataSet`.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared |
de.jstacs.sequenceScores.statisticalModels.trainable.mixture | This package is the super package for any mixture model.
de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif |

Classes in de.jstacs.sequenceScores.statisticalModels.trainable.mixture used by de.jstacs.sequenceScores.statisticalModels.trainable
MixtureTrainSM The class for a mixture model of any `TrainableStatisticalModel`s.
StrandTrainSM This model handles sequences that can either lie on the forward strand or on the reverse complementary strand.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable.mixture used by de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared
AbstractMixtureTrainSM This is the abstract class for all kinds of mixture models.
MixtureTrainSM The class for a mixture model of any `TrainableStatisticalModel`s.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable.mixture used by de.jstacs.sequenceScores.statisticalModels.trainable.mixture
AbstractMixtureTrainSM This is the abstract class for all kinds of mixture models.
AbstractMixtureTrainSM.Algorithm This `enum` defines the different types of algorithms that can be used in an `AbstractMixtureTrainSM`.
AbstractMixtureTrainSM.Parameterization This `enum` defines the different types of parameterization for a probability that can be used in an `AbstractMixtureTrainSM`.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable.mixture used by de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif
AbstractMixtureTrainSM This is the abstract class for all kinds of mixture models.
AbstractMixtureTrainSM.Algorithm This `enum` defines the different types of algorithms that can be used in an `AbstractMixtureTrainSM`.
AbstractMixtureTrainSM.Parameterization This `enum` defines the different types of parameterization for a probability that can be used in an `AbstractMixtureTrainSM`.

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