| Package | Description |
|---|---|
| de.jstacs.sequenceScores.statisticalModels.trainable |
Provides all
TrainableStatisticalModels, 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 |
| Class and Description |
|---|
| MixtureTrainSM
The class for a mixture model of any
TrainableStatisticalModels. |
| StrandTrainSM
This model handles sequences that can either lie on the forward strand or on
the reverse complementary strand.
|
| Class and Description |
|---|
| AbstractMixtureTrainSM
This is the abstract class for all kinds of mixture models.
|
| MixtureTrainSM
The class for a mixture model of any
TrainableStatisticalModels. |
| Class and Description |
|---|
| 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. |
| Class and Description |
|---|
| 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. |