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Packages that use de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous | |
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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.homogeneous | Provides DifferentiableStatisticalModel s that are homogeneous, i.e. model probabilities or scores independent of the position within a sequence |
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif |
Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous used by de.jstacs.sequenceScores.statisticalModels.differentiable | |
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HomogeneousDiffSM
This is the main class for all homogeneous DifferentiableSequenceScore s. |
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HomogeneousMMDiffSM
This scoring function implements a homogeneous Markov model of arbitrary order for any sequence length. |
Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous used by de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous | |
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HomogeneousDiffSM
This is the main class for all homogeneous DifferentiableSequenceScore s. |
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HomogeneousMM0DiffSM
This scoring function implements a homogeneous Markov model of order zero (hMM(0)) for a fixed sequence length. |
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HomogeneousMMDiffSM
This scoring function implements a homogeneous Markov model of arbitrary order for any sequence length. |
Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous used by de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif | |
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HomogeneousDiffSM
This is the main class for all homogeneous DifferentiableSequenceScore s. |
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