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Packages that use PositionPrior | |
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de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif | |
de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif.positionprior |
Uses of PositionPrior in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif |
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Fields in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif declared as PositionPrior | |
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protected PositionPrior |
HiddenMotifMixture.posPrior
The prior for the positions. |
Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif with parameters of type PositionPrior | |
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HiddenMotifMixture(TrainableStatisticalModel[] models,
boolean[] optimzeArray,
int components,
int starts,
boolean estimateComponentProbs,
double[] componentHyperParams,
double[] weights,
PositionPrior posPrior,
AbstractMixtureTrainSM.Algorithm algorithm,
double alpha,
TerminationCondition tc,
AbstractMixtureTrainSM.Parameterization parametrization,
int initialIteration,
int stationaryIteration,
BurnInTest burnInTest)
Creates a new HiddenMotifMixture . |
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ZOOPSTrainSM(TrainableStatisticalModel motif,
TrainableStatisticalModel bg,
boolean trainOnlyMotifModel,
int starts,
double[] componentHyperParams,
double[] weights,
PositionPrior posPrior,
AbstractMixtureTrainSM.Algorithm algorithm,
double alpha,
TerminationCondition tc,
AbstractMixtureTrainSM.Parameterization parametrization,
int initialIteration,
int stationaryIteration,
BurnInTest burnInTest)
Creates a new ZOOPSTrainSM . |
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ZOOPSTrainSM(TrainableStatisticalModel motif,
TrainableStatisticalModel bg,
boolean trainOnlyMotifModel,
int starts,
double[] componentHyperParams,
PositionPrior posPrior,
double alpha,
TerminationCondition tc,
AbstractMixtureTrainSM.Parameterization parametrization)
Creates a new ZOOPSTrainSM using EM and estimating
the probability for finding a motif. |
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ZOOPSTrainSM(TrainableStatisticalModel motif,
TrainableStatisticalModel bg,
boolean trainOnlyMotifModel,
int starts,
double motifProb,
PositionPrior posPrior,
double alpha,
TerminationCondition tc,
AbstractMixtureTrainSM.Parameterization parametrization)
Creates a new ZOOPSTrainSM using EM and fixed
probability for finding a motif. |
Uses of PositionPrior in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif.positionprior |
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Subclasses of PositionPrior in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif.positionprior | |
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class |
GaussianLikePositionPrior
This class implements a gaussian like discrete truncated prior. |
class |
UniformPositionPrior
This prior implements a uniform distribution for the start position. |
Methods in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif.positionprior that return PositionPrior | |
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PositionPrior |
PositionPrior.clone()
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