- r - Static variable in class de.jstacs.sequenceScores.differentiable.AbstractDifferentiableSequenceScore
-
This object can be used for drawing initial parameters.
- RandomNumberGenerator - Class in de.jstacs.utils.random
-
- RandomNumberGenerator() - Constructor for class de.jstacs.utils.random.RandomNumberGenerator
-
- RandomNumberGenerator(long) - Constructor for class de.jstacs.utils.random.RandomNumberGenerator
-
- RandomSequenceScoreDistance - Class in de.jstacs.clustering.distances
-
Class for a distance metric between
StatisticalModel
s based on the correlation of score
profiles on random sequences.
- RandomSequenceScoreDistance(DiscreteAlphabet, int, boolean) - Constructor for class de.jstacs.clustering.distances.RandomSequenceScoreDistance
-
Creates a distance using a random sequence of length
.
- Rangeable - Interface in de.jstacs.parameters
-
Interface for
Parameter
s that potentially can be varied over a
certain interval or a list of values.
- RangeIterator - Interface in de.jstacs.parameters
-
- RangeParameter - Class in de.jstacs.parameters
-
Class for a parameter wrapper that allows
SimpleParameter
s to be set
to a set of values.
These values may be given either as a list of values separated by spaces, as
a range between a first and a last value with a given number of steps between
these values, or a single value.
- RangeParameter(SimpleParameter) - Constructor for class de.jstacs.parameters.RangeParameter
-
- RangeParameter(StringBuffer) - Constructor for class de.jstacs.parameters.RangeParameter
-
The standard constructor for the interface
Storable
.
- RangeParameter.RangeType - Enum in de.jstacs.parameters
-
- RangeParameter.Scale - Enum in de.jstacs.parameters
-
- rank(double[], boolean) - Static method in class de.jstacs.utils.ToolBox
-
Ranks the values in values
, where the greatest value obtains the lowest rank.
- rank(double[], ToolBox.TiedRanks) - Static method in class de.jstacs.utils.ToolBox
-
Ranks the values in values
, where the greatest value obtains the lowest rank.
- RankEntryComparator() - Constructor for class de.jstacs.parameters.ParameterSetTagger.RankEntryComparator
-
- RasterizedAdaptor - Class in de.jstacs.utils.graphics
-
- RasterizedAdaptor(String) - Constructor for class de.jstacs.utils.graphics.RasterizedAdaptor
-
- rc - Variable in class de.jstacs.data.sequences.Sequence
-
The pointer to the reverse complement of the
Sequence
.
- read(Reader) - Static method in class de.jstacs.io.FileManager
-
- reader - Variable in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.FSDAGModelForGibbsSampling
-
The reader for the paramsFile
after a sampling.
- reader - Variable in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete.AbstractConditionalDiscreteEmission
-
The reader for the paramsFile
after a sampling.
- reader - Variable in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.HigherOrderTransition
-
The reader for the paramsFile
after a sampling.
- readFile(String) - Static method in class de.jstacs.io.FileManager
-
This method reads a
StringBuffer
from a file with the given filen name.
- readFile(File) - Static method in class de.jstacs.io.FileManager
-
- readInputStream(InputStream) - Static method in class de.jstacs.io.FileManager
-
- readNextSequences(BufferedReader, StringBuffer, int) - Static method in class de.jstacs.utils.LargeSequenceReader
-
Returns the next chunk of input sequences.
- readPFMFromUniprobe(String, File) - Static method in class de.jstacs.utils.PFMComparator
-
Reads a PFM from the UniProbe format.
- readPFMsFromEMBL(String, int) - Static method in class de.jstacs.utils.PFMComparator
-
This method reads a number of PFMs from a file and return them in an
ArrayList
together with some annotation.
- readPFMsFromJasparFastA(String) - Static method in class de.jstacs.utils.PFMComparator
-
This method reads a number of PFMs from a file in the Jaspar FastA-like format and
returns them in an
ArrayList
together with some annotation.
- readPFMsFromJasparFastA(BufferedReader) - Static method in class de.jstacs.utils.PFMComparator
-
Reads a list of PFMs from the Jaspar format
- readPFMsFromTransfac(String, int) - Static method in class de.jstacs.utils.PFMComparator
-
Reads a set of PFM from the Transfac format
- readPFMsFromUniprobe(String) - Static method in class de.jstacs.utils.PFMComparator
-
This method reads a number of PFMs from a directory as downloaded from the Uniprobe data base and
returns them in an
ArrayList
together with some annotation.
- readTensorFromFile(String, boolean) - Static method in class de.jstacs.algorithms.graphs.tensor.Tensor
-
- RealTime - Class in de.jstacs.utils
-
This is a very simple implementation of
Time
.
- RealTime() - Constructor for class de.jstacs.utils.RealTime
-
- RecursiveSequence(AlphabetContainer, SequenceAnnotation[], Sequence<T>) - Constructor for class de.jstacs.data.sequences.Sequence.RecursiveSequence
-
- RecursiveSequence(AlphabetContainer, Sequence<T>) - Constructor for class de.jstacs.data.sequences.Sequence.RecursiveSequence
-
- RecyclableSequenceEnumerator - Interface in de.jstacs.data
-
This interface extends
Enumeration
of
Sequence
s by declaring an additional method that allows to reuse the Enumeration.
- reduce(AbstractList<int[]>) - Static method in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.ConstraintManager
-
This method tries to find and remove subconstraints that are already fulfilled by a bigger one.
- ReferenceBasedTransitionElement - Class in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.elements
-
This class implements transition elements that utilize a reference sequence to determine the transition probability.
- ReferenceBasedTransitionElement(int[], int[], double, double[], String) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.elements.ReferenceBasedTransitionElement
-
Creates an
ReferenceBasedTransitionElement
representing a conditional transition probability distribution of a Hidden Markov TrainableStatisticalModel for the given context.
- ReferenceBasedTransitionElement(int[], int[], double, double[], String, double[]) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.elements.ReferenceBasedTransitionElement
-
Creates an
ReferenceBasedTransitionElement
representing a conditional transition probability distribution of a Hidden Markov TrainableStatisticalModel for the given context.
- ReferenceBasedTransitionElement(StringBuffer) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.elements.ReferenceBasedTransitionElement
-
The standard constructor for the interface
Storable
.
- ReferenceSequenceAnnotation - Class in de.jstacs.data.sequences.annotation
-
- ReferenceSequenceAnnotation(String, Sequence, Result...) - Constructor for class de.jstacs.data.sequences.annotation.ReferenceSequenceAnnotation
-
- ReferenceSequenceAnnotation(StringBuffer) - Constructor for class de.jstacs.data.sequences.annotation.ReferenceSequenceAnnotation
-
The standard constructor for the interface
Storable
.
- ReferenceSequenceAnnotationParser - Class in de.jstacs.data.sequences.annotation
-
- ReferenceSequenceAnnotationParser(String, AlphabetContainer, String, String, String) - Constructor for class de.jstacs.data.sequences.annotation.ReferenceSequenceAnnotationParser
-
- ReferenceSequenceAnnotationParser(String, AlphabetContainer, String, String) - Constructor for class de.jstacs.data.sequences.annotation.ReferenceSequenceAnnotationParser
-
- ReferenceSequenceDiscreteEmission - Class in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete
-
- ReferenceSequenceDiscreteEmission(AlphabetContainer, AlphabetContainer, int, double) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete.ReferenceSequenceDiscreteEmission
-
- ReferenceSequenceDiscreteEmission(AlphabetContainer, AlphabetContainer, int, double, double[][]) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete.ReferenceSequenceDiscreteEmission
-
- ReferenceSequenceDiscreteEmission(AlphabetContainer, AlphabetContainer, int, double[][]) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete.ReferenceSequenceDiscreteEmission
-
- ReferenceSequenceDiscreteEmission(AlphabetContainer, AlphabetContainer, int, double[][], double[][]) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete.ReferenceSequenceDiscreteEmission
-
- ReferenceSequenceDiscreteEmission(StringBuffer) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete.ReferenceSequenceDiscreteEmission
-
- refIdx - Variable in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete.ReferenceSequenceDiscreteEmission
-
The index in the reference sequence
- RegExFilenameFilter - Class in de.jstacs.io
-
A simple filter on
File
s that accepts
File
s with a specific regular expression
in the filename.
- RegExFilenameFilter(String, RegExFilenameFilter.Directory, boolean, String...) - Constructor for class de.jstacs.io.RegExFilenameFilter
-
Creates a new
RegExFilenameFilter
with given
regular expressions
regex
to be found in the
file name of the
File
s to be filtered.
- RegExFilenameFilter.Directory - Enum in de.jstacs.io
-
A switch to decide whether the results of a
RegExFilenameFilter
are forbidden, allowed or required to be a directory.
- RegExFilterOutputStream - Class in de.jstacs.utils
-
This class allows to filter individual lines that are then passed to an internal
OutputStream
.
- RegExFilterOutputStream(OutputStream, String) - Constructor for class de.jstacs.utils.RegExFilterOutputStream
-
- RegExpValidator - Class in de.jstacs.parameters.validation
-
- RegExpValidator(String) - Constructor for class de.jstacs.parameters.validation.RegExpValidator
-
Creates a validator for the given regular expression.
- RegExpValidator(StringBuffer) - Constructor for class de.jstacs.parameters.validation.RegExpValidator
-
- register() - Static method in class de.jstacs.results.savers.DataSetResultSaver
-
- register() - Static method in class de.jstacs.results.savers.ListResultSaver
-
- register() - Static method in class de.jstacs.results.savers.PlotGeneratorResultSaver
-
- register(Class<? extends T>, ResultSaver<T>) - Static method in class de.jstacs.results.savers.ResultSaverLibrary
-
Registers the supplied
ResultSaver
for the given class in the library.
- register() - Static method in class de.jstacs.results.savers.ResultSetResultSaver
-
- register() - Static method in class de.jstacs.results.savers.StorableResultSaver
-
- register() - Static method in class de.jstacs.results.savers.TextResultSaver
-
- remove(int) - Method in class de.jstacs.AnnotatedEntityList
-
- remove() - Method in class de.jstacs.data.DataSet.ElementEnumerator
-
- removeBackground(Hashtable<Sequence, BitSet[]>, int, int, double, double) - Static method in class de.jstacs.motifDiscovery.KMereStatistic
-
This method allows to remove those entries from the statistic that have a lower weighted foreground cardinality than the weighted background cardinality.
- removeMeasure(int) - Method in class de.jstacs.classifiers.performanceMeasures.AbstractPerformanceMeasureParameterSet
-
Removes the measure with index index
from the set and returns this measure.
- removeMeasures(Class<? extends AbstractPerformanceMeasure>) - Method in class de.jstacs.classifiers.performanceMeasures.AbstractPerformanceMeasureParameterSet
-
Removes all measures of a specific class from the set.
- removeMeasures(String) - Method in class de.jstacs.classifiers.performanceMeasures.AbstractPerformanceMeasureParameterSet
-
Removes all measures with a specific name.
- removeParameterFromSet() - Method in class de.jstacs.parameters.ExpandableParameterSet
-
- rename(String) - Method in class de.jstacs.results.Result
-
Renames this Result.
- REnvironment - Class in de.jstacs.utils
-
This is an environment class for
R and
Rserve that helps you to handle all things in a
more gentle way.
- REnvironment() - Constructor for class de.jstacs.utils.REnvironment
-
This constructor creates a connection to an R instance on the "localhost" with empty login and password.
- REnvironment(String, String, String, int) - Constructor for class de.jstacs.utils.REnvironment
-
- REnvironment(String, String, String) - Constructor for class de.jstacs.utils.REnvironment
-
Creates a new
REnvironment
with initial size 10 using the default
port.
- REnvironment(String, int, String, String, int) - Constructor for class de.jstacs.utils.REnvironment
-
- REnvironment(String, int, String, String) - Constructor for class de.jstacs.utils.REnvironment
-
Creates a new
REnvironment
with initial size 10 using the given
port.
- RepeatedHoldOutAssessParameterSet - Class in de.jstacs.classifiers.assessment
-
- RepeatedHoldOutAssessParameterSet() - Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutAssessParameterSet
-
- RepeatedHoldOutAssessParameterSet(StringBuffer) - Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutAssessParameterSet
-
The standard constructor for the interface
Storable
.
- RepeatedHoldOutAssessParameterSet(DataSet.PartitionMethod, int, boolean, int, double[]) - Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutAssessParameterSet
-
- RepeatedHoldOutExperiment - Class in de.jstacs.classifiers.assessment
-
This class implements a repeated hold-out experiment for assessing
classifiers.
- RepeatedHoldOutExperiment(AbstractClassifier[], TrainableStatisticalModel[][], boolean, boolean) - Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutExperiment
-
- RepeatedHoldOutExperiment(AbstractClassifier...) - Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutExperiment
-
- RepeatedHoldOutExperiment(boolean, TrainableStatisticalModel[]...) - Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutExperiment
-
- RepeatedHoldOutExperiment(AbstractClassifier[], boolean, TrainableStatisticalModel[]...) - Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutExperiment
-
- RepeatedSubSamplingAssessParameterSet - Class in de.jstacs.classifiers.assessment
-
- RepeatedSubSamplingAssessParameterSet() - Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingAssessParameterSet
-
- RepeatedSubSamplingAssessParameterSet(StringBuffer) - Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingAssessParameterSet
-
The standard constructor for the interface
Storable
.
- RepeatedSubSamplingAssessParameterSet(int, boolean, int, double[], double[]) - Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingAssessParameterSet
-
- RepeatedSubSamplingExperiment - Class in de.jstacs.classifiers.assessment
-
This class implements a repeated subsampling experiment.
- RepeatedSubSamplingExperiment(AbstractClassifier[], TrainableStatisticalModel[][], boolean, boolean) - Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingExperiment
-
- RepeatedSubSamplingExperiment(AbstractClassifier...) - Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingExperiment
-
- RepeatedSubSamplingExperiment(boolean, TrainableStatisticalModel[]...) - Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingExperiment
-
- RepeatedSubSamplingExperiment(AbstractClassifier[], boolean, TrainableStatisticalModel[]...) - Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingExperiment
-
- replaceContentWith(ParameterSet[]) - Method in class de.jstacs.parameters.ExpandableParameterSet
-
- required - Variable in class de.jstacs.parameters.SimpleParameter
-
Determines if the parameter is required
- reset() - Method in class de.jstacs.algorithms.optimization.ConstantStartDistance
-
- reset() - Method in class de.jstacs.algorithms.optimization.LimitedMedianStartDistance
-
- reset() - Method in interface de.jstacs.algorithms.optimization.StartDistanceForecaster
-
Resets the object to the initial state.
- reset(DifferentiableSequenceScore[]) - Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.DiffSSBasedOptimizableFunction
-
This method allows to reset the internally used functions and the corresponding objects.
- reset() - Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.DiffSSBasedOptimizableFunction
-
- reset(DifferentiableSequenceScore[]) - Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix.LogGenDisMixFunction
-
- reset() - Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.OptimizableFunction
-
Resets the all objects and pre-computed values.
- reset() - Method in class de.jstacs.data.bioJava.SimpleSequenceIterator
-
Provides the possibility to reset and afterwards reuse this iterator.
- reset() - Method in class de.jstacs.data.DataSet.ElementEnumerator
-
- reset() - Method in class de.jstacs.data.DataSetKMerEnumerator
-
- reset() - Method in class de.jstacs.data.DiscreteSequenceEnumerator
-
- reset() - Method in interface de.jstacs.data.RecyclableSequenceEnumerator
-
This method enables the user to reuse this enumerator.
- reset() - Method in class de.jstacs.data.SequenceEnumeration
-
- reset() - Method in class de.jstacs.parameters.FileParameter
-
- reset() - Method in class de.jstacs.parameters.MultiSelectionParameter
-
- reset() - Method in class de.jstacs.parameters.Parameter
-
Resets the parameter and its contents to the default values or
null
if no defaults are given.
- reset() - Method in class de.jstacs.parameters.ParameterSet
-
Resets all
Parameter
s in this
ParameterSet
to their
default values or
null
if not default value was provided.
- reset() - Method in class de.jstacs.parameters.ParameterSetContainer
-
- reset() - Method in class de.jstacs.parameters.RangeParameter
-
- reset() - Method in class de.jstacs.parameters.SelectionParameter
-
- reset() - Method in class de.jstacs.parameters.SequenceScoringParameterSet
-
- reset() - Method in class de.jstacs.parameters.SimpleParameter
-
- reset() - Method in class de.jstacs.parameters.SimpleParameterSet
-
- reset() - Method in class de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.BNDiffSMParameter
-
Resets the counts to the pseudocounts and the value to 0
.
- reset() - Method in class de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif.DurationDiffSM
-
- reset() - Method in class de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif.PositionDiffSM
-
This method resets the iterator to the initial state (first reasonable output) so that it can be used again.
- reset() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.Constraint
-
This method resets all member variables that are in some way counters,
frequencies, ...
- reset() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.CombinationIterator
-
This method resets the internal combination.
- reset() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.MEMConstraint
-
- reset() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.SequenceIterator
-
Resets the internal sequence representation.
- reset() - Method in class de.jstacs.tools.ui.galaxy.GalaxyAdaptor.LineBasedResult
-
Resets the line counter to the beginning
- reset() - Method in class de.jstacs.utils.RealTime
-
- reset() - Method in class de.jstacs.utils.Time
-
Restarts the time stopping.
- reset() - Method in class de.jstacs.utils.UserTime
-
- resetAllValues() - Method in class de.jstacs.sampling.AbstractBurnInTest
-
- resetAllValues() - Method in interface de.jstacs.sampling.BurnInTest
-
This method can be used to remove all values from the internal memory.
- resetAllValues() - Method in class de.jstacs.sampling.SimpleBurnInTest
-
Deprecated.
- resetCounts() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.Constraint
-
This method allows to reset the internal field
Constraint.counts
that is used for estimating the probabilities.
- resetStatistic() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.continuous.GaussianEmission
-
- resetStatistic() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.continuous.MultivariateGaussianEmission
-
- resetStatistic() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete.AbstractConditionalDiscreteEmission
-
- resetStatistic() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete.PhyloDiscreteEmission
-
- resetStatistic() - Method in interface de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.Emission
-
This method resets the internal sufficient statistic.
- resetStatistic() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.MixtureEmission
-
- resetStatistic() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.SilentEmission
-
- resetStatistic() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.UniformEmission
-
- resetStatistic() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.BasicHigherOrderTransition.AbstractTransitionElement
-
This method resets the sufficient statistic for the parameters.
- resetStatistic() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.BasicHigherOrderTransition
-
- resetStatistic() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.elements.DistanceBasedScaledTransitionElement
-
- resetStatistic() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.elements.ScaledTransitionElement
-
- resetStatistic() - Method in interface de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.TransitionWithSufficientStatistic
-
This method reset the internal sufficient statistics that can be used for estimating the parameters.
- resetStatistics() - Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models.HigherOrderHMM
-
This method resets all sufficient statistics of all emissions and the transition.
- resetToFirst() - Method in class de.jstacs.parameters.MultiSelectionParameter
-
- resetToFirst() - Method in interface de.jstacs.parameters.RangeIterator
-
Resets the current value in the collection to the first value.
- resetToFirst() - Method in class de.jstacs.parameters.RangeParameter
-
- resetValue(byte, int, int...) - Method in class de.jstacs.algorithms.graphs.tensor.AsymmetricTensor
-
- resetValue(byte, int, int...) - Method in class de.jstacs.algorithms.graphs.tensor.SubTensor
-
- resetValue(byte, int, int...) - Method in class de.jstacs.algorithms.graphs.tensor.SymmetricTensor
-
Sets the value for the edge parents -> child
to
Double.NEGATIVE_INFTINITY
.
- resetValue(byte, int, int...) - Method in class de.jstacs.algorithms.graphs.tensor.Tensor
-
Sets the value for the edge
parents[0],...,parents[k-1] -> child
to
Double.NEGATIVE_INFINITY
.
- resize(double[], int) - Method in class de.jstacs.data.DataSet
-
Returns modified version of this data set with adjusted subsequence length.
- RestrictedRepeatHistory - Class in de.jstacs.motifDiscovery.history
-
This class implements a history that allows operations (i.e.
- RestrictedRepeatHistory() - Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
-
This constructor creates an instance that allows to shift, shrink, and
expand the motif, to do the reverse operation, and to do each operation at most once.
- RestrictedRepeatHistory(boolean) - Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
-
This constructor creates an instance that allows to shift, shrink, and
expand the motif, and allows to do each operation at most once.
- RestrictedRepeatHistory(int) - Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
-
This constructor creates an instance that allows to shift shrink and
expand the motif.
- RestrictedRepeatHistory(boolean, boolean, boolean) - Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
-
This constructor creates an instance that allows to do each operation at
most once.
- RestrictedRepeatHistory(boolean, boolean, boolean, boolean, int) - Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
-
This constructor creates an instance with user specified allowed
operations and threshold
.
- RestrictedRepeatHistory(StringBuffer) - Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
-
This is the constructor for the interface
Storable
.
- reStructure(int[][], int) - Method in class de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.Measure
-
- Result - Class in de.jstacs.results
-
The abstract class for any result.
- Result(String, String, DataType) - Constructor for class de.jstacs.results.Result
-
The main constructor which takes the main information of a result.
- Result(StringBuffer) - Constructor for class de.jstacs.results.Result
-
The standard constructor for the interface
Storable
.
- result - Variable in class de.jstacs.results.SimpleResult
-
The result.
- ResultEntry(Class<? extends Result>, String, String) - Constructor for class de.jstacs.tools.JstacsTool.ResultEntry
-
Creates a new default result entry.
- results - Variable in class de.jstacs.results.ResultSet
-
The internally stores results.
- ResultSaver<T extends Result> - Interface in de.jstacs.results.savers
-
Interface for saving
Result
s to a file.
- ResultSaverLibrary - Class in de.jstacs.results.savers
-
- ResultSaverLibrary() - Constructor for class de.jstacs.results.savers.ResultSaverLibrary
-
- ResultSet - Class in de.jstacs.results
-
Class for a set of
Result
s which provides methods to access single
Result
s in the set, to retrieve the number of
Result
s in the
set, to get a
String
representation or an XML representation of all
the
Result
s in the set.
- ResultSet(Result) - Constructor for class de.jstacs.results.ResultSet
-
- ResultSet(Result[]...) - Constructor for class de.jstacs.results.ResultSet
-
- ResultSet(Collection<? extends Result>) - Constructor for class de.jstacs.results.ResultSet
-
- ResultSet(StringBuffer) - Constructor for class de.jstacs.results.ResultSet
-
The standard constructor for the interface
Storable
.
- ResultSetResult - Class in de.jstacs.results
-
- ResultSetResult(String, String, ResultSet, ResultSet) - Constructor for class de.jstacs.results.ResultSetResult
-
Creates a new
ResultSetResult
with given name, comment, annotation, and content.
- ResultSetResult(StringBuffer) - Constructor for class de.jstacs.results.ResultSetResult
-
- ResultSetResultSaver - Class in de.jstacs.results.savers
-
- reverse(int, int) - Method in class de.jstacs.data.sequences.CyclicSequenceAdaptor
-
- reverse() - Method in class de.jstacs.data.sequences.Sequence
-
This method returns a new instance of
Sequence
containing the
reverse current
Sequence
.
- reverse(int, int) - Method in class de.jstacs.data.sequences.Sequence
-
This method returns a new instance of
Sequence
containing a part
of the reverse current
Sequence
.
- reverse(int, int) - Method in class de.jstacs.data.sequences.SparseSequence
-
- reverse - Variable in class de.jstacs.sequenceScores.differentiable.IndependentProductDiffSS
-
This array specifies whether the sequence or its reverse complement is used in the specific parts.
- reverse() - Method in class de.jstacs.utils.IntList
-
This method reverses the list, i.e., after invoking this method the formerly
first element is than the last, the formerly second element is than the last but one, ...
- reverseComplement() - Method in class de.jstacs.data.sequences.CyclicSequenceAdaptor
-
- reverseComplement(int, int) - Method in class de.jstacs.data.sequences.CyclicSequenceAdaptor
-
- reverseComplement(int, int) - Method in class de.jstacs.data.sequences.MultiDimensionalSequence
-
- reverseComplement() - Method in class de.jstacs.data.sequences.Sequence
-
This method returns a new instance of
Sequence
containing the
reverse complementary current
Sequence
.
- reverseComplement(int, int) - Method in class de.jstacs.data.sequences.Sequence
-
This method returns a new instance of
Sequence
containing a
reverse part of the complementary current
Sequence
.
- reverseComplement(int, int) - Method in class de.jstacs.data.sequences.Sequence.SubSequence
-
- reverseComplement(int, int) - Method in class de.jstacs.data.sequences.SparseSequence
-
- reverseOrder() - Method in class de.jstacs.clustering.hierachical.ClusterTree
-
Reverses the order of the child trees of this cluster tree root node.
- ROCCurve - Class in de.jstacs.classifiers.performanceMeasures
-
This class implements the Receiver Operating Characteristics curve and the area under the curve.
- ROCCurve() - Constructor for class de.jstacs.classifiers.performanceMeasures.ROCCurve
-
Constructs a new instance of the performance measure
ROCCurve
.
- ROCCurve(StringBuffer) - Constructor for class de.jstacs.classifiers.performanceMeasures.ROCCurve
-
The standard constructor for the interface
Storable
.
- run(ParameterSet, Protocol, ProgressUpdater, int) - Method in interface de.jstacs.tools.JstacsTool
-
- run(String[]) - Method in class de.jstacs.tools.ui.cli.CLI
-
Runs this command line application with the specified arguments in args
.
- run(String[]) - Method in class de.jstacs.tools.ui.galaxy.Galaxy
-
Runs this Galaxy interface with the supplied arguments.
- RUtils - Class in de.jstacs.utils
-
This is a collection of various silly things you can do when accessing
Rserve.
This class is based on an implementation of Andreas Stephanik and was further
developed by Jens Keilwagen.
- RUtils() - Constructor for class de.jstacs.utils.RUtils
-