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Packages that use WrongLengthException | |
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de.jstacs.data | Provides classes for the representation of data. |
de.jstacs.data.sequences | Provides classes for representing sequences. |
de.jstacs.models.hmm | The package provides all interfaces and classes for a hidden Markov model (HMM). |
de.jstacs.models.hmm.models | The package provides different implementations of hidden Markov models based on AbstractHMM |
de.jstacs.models.hmm.states | The package provides all interfaces and classes for states used in hidden Markov models. |
de.jstacs.motifDiscovery | This package provides the framework including the interface for any de novo motif discoverer |
de.jstacs.scoringFunctions.mix.motifSearch |
Uses of WrongLengthException in de.jstacs.data |
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Methods in de.jstacs.data that throw WrongLengthException | |
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int |
Sample.getNumberOfElementsWithLength(int len)
Returns the number of overlapping elements that can be extracted. |
double |
Sample.getNumberOfElementsWithLength(int len,
double[] weights)
Returns the weighted number of overlapping elements that can be extracted. |
Sample[] |
Sample.partition(double p,
Sample.PartitionMethod method,
int subsequenceLength)
This method partitions the elements, i.e. the Sequence s, of the
Sample in two distinct parts. |
static Sample |
Sample.union(Sample[] s,
boolean[] in,
int subsequenceLength)
This method unites all Sample s of the array s
regarding the array in and sets the element length in the
united Sample to subsequenceLength . |
static Sample |
Sample.union(Sample[] s,
int subsequenceLength)
This method unites all Sample s of the array s and
sets the element length in the united sample to
subsequenceLength . |
Constructors in de.jstacs.data that throw WrongLengthException | |
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DNASample(String fName)
Creates a new sample of DNA sequence from a FASTA file with file name fName . |
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DNASample(String fName,
char ignore)
Creates a new sample of DNA sequence from a file with file name fName . |
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DNASample(String fName,
char ignore,
SequenceAnnotationParser parser)
Creates a new sample of DNA sequence from a file with file name fName using the given parser . |
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Sample.WeightedSampleFactory(Sample.WeightedSampleFactory.SortOperation sort,
Sample... data)
Creates a new Sample.WeightedSampleFactory on the given
Sample (s) with Sample.WeightedSampleFactory.SortOperation sort . |
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Sample.WeightedSampleFactory(Sample.WeightedSampleFactory.SortOperation sort,
Sample[] data,
double[][] weights,
int length)
Creates a new Sample.WeightedSampleFactory on the given array of
Sample s and an array of weights with a given
length and Sample.WeightedSampleFactory.SortOperation sort . |
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Sample.WeightedSampleFactory(Sample.WeightedSampleFactory.SortOperation sort,
Sample data,
double[] weights)
Creates a new Sample.WeightedSampleFactory on the given
Sample and an array of weights with
Sample.WeightedSampleFactory.SortOperation sort . |
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Sample.WeightedSampleFactory(Sample.WeightedSampleFactory.SortOperation sort,
Sample data,
double[] weights,
int length)
Creates a new Sample.WeightedSampleFactory on the given
Sample and an array of weights with a given
length and Sample.WeightedSampleFactory.SortOperation sort . |
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Sample(AlphabetContainer abc,
AbstractStringExtractor se)
Creates a new Sample from a StringExtractor
using the given AlphabetContainer . |
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Sample(AlphabetContainer abc,
AbstractStringExtractor se,
int subsequenceLength)
Creates a new Sample from a StringExtractor
using the given AlphabetContainer and all overlapping windows of
length subsequenceLength . |
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Sample(AlphabetContainer abc,
AbstractStringExtractor se,
String delim)
Creates a new Sample from a StringExtractor
using the given AlphabetContainer and a delimiter
delim . |
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Sample(AlphabetContainer abc,
AbstractStringExtractor se,
String delim,
int subsequenceLength)
Creates a new Sample from a StringExtractor
using the given AlphabetContainer , the given delimiter
delim and all overlapping windows of length
subsequenceLength . |
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Sample(Sample s,
int subsequenceLength)
Creates a new Sample from a given Sample and a given
length subsequenceLength . |
Uses of WrongLengthException in de.jstacs.data.sequences |
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Constructors in de.jstacs.data.sequences that throw WrongLengthException | |
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MultiDimensionalDiscreteSequence(SequenceAnnotation[] seqAnnotations,
SimpleDiscreteSequence... sequence)
This constructor creates an MultiDimensionalDiscreteSequence from a set of individual SimpleDiscreteSequence s. |
Uses of WrongLengthException in de.jstacs.models.hmm |
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Methods in de.jstacs.models.hmm that throw WrongLengthException | |
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double |
State.getLogScoreFor(int startPos,
int endPos,
Sequence seq)
This method returns the logarithm of the score for a given sequence with given start and end position. |
Uses of WrongLengthException in de.jstacs.models.hmm.models |
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Methods in de.jstacs.models.hmm.models that throw WrongLengthException | |
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protected void |
HigherOrderHMM.fillFwdMatrix(int startPos,
int endPos,
Sequence seq)
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Uses of WrongLengthException in de.jstacs.models.hmm.states |
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Methods in de.jstacs.models.hmm.states that throw WrongLengthException | |
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double |
SimpleDifferentiableState.getLogScoreAndPartialDerivation(int startPos,
int endPos,
IntList indices,
DoubleList partDer,
Sequence seq)
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double |
DifferentiableState.getLogScoreAndPartialDerivation(int startPos,
int endPos,
IntList indices,
DoubleList partDer,
Sequence seq)
This method allows to compute the logarithm of the score and the gradient for the given subsequences. |
double |
SimpleState.getLogScoreFor(int startPos,
int endPos,
Sequence seq)
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Uses of WrongLengthException in de.jstacs.motifDiscovery |
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Methods in de.jstacs.motifDiscovery that throw WrongLengthException | |
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static Hashtable<Sequence,BitSet[]> |
KMereStatistic.merge(Hashtable<Sequence,BitSet[]> statistic,
int maximalMissmatch,
boolean bothStrands)
This method allows to merge the statistics of k-mers by allowing mismatches. |
Uses of WrongLengthException in de.jstacs.scoringFunctions.mix.motifSearch |
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Methods in de.jstacs.scoringFunctions.mix.motifSearch that throw WrongLengthException | |
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double[] |
HiddenMotifsMixture.getProfileOfScoresFor(int component,
int motif,
Sequence sequence,
int startpos,
MotifDiscoverer.KindOfProfile dist)
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