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java.lang.Objectde.jstacs.motifDiscovery.SignificantMotifOccurrencesFinder
public class SignificantMotifOccurrencesFinder
This class enables the user to predict motif occurrences given a specific significance level.
| Nested Class Summary | |
|---|---|
static class |
SignificantMotifOccurrencesFinder.RandomSeqType
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| Constructor Summary | |
|---|---|
SignificantMotifOccurrencesFinder(MotifDiscoverer disc,
Sample bg,
double sign)
This constructor creates an instance of SignificantMotifOccurrencesFinder that uses a Sample to determine the siginificance level. |
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SignificantMotifOccurrencesFinder(MotifDiscoverer disc,
SignificantMotifOccurrencesFinder.RandomSeqType type,
boolean oneHistogram,
int numSequences,
double sign)
This constructor creates an instance of SignificantMotifOccurrencesFinder that uses the given SignificantMotifOccurrencesFinder.RandomSeqType to determine the siginificance level. |
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| Method Summary | |
|---|---|
Sample |
annotateMotifs(int startPos,
Sample data)
This method annotates a Sample starting in each sequence at startPos. |
Sample |
annotateMotifs(int startPos,
Sample data,
int addMax)
This method annotates a Sample starting in each sequence at startPos. |
Sample |
annotateMotifs(Sample data)
This method annotates a Sample. |
Sample |
annotateMotifs(Sample data,
int addMax)
This method annotates a Sample. |
MotifAnnotation[] |
findSignificantMotifOccurrences(int motif,
Sequence seq,
int start)
This method finds the significant motif occurrences in the sequence. |
Sample |
getBindingSites(int startPos,
Sample data,
int addMax,
int addLeft,
int addRight)
This method returns a Sample containing the predicted binding sites. |
Sample |
getBindingSites(Sample data)
This method returns a Sample containing the predicted binding sites. |
double |
getFactorForAucPR()
This method returns a factor that must be multiplied to scores for computing PR curves. |
int |
getNumberOfBoundSequences(Sample data,
int motifIndex)
Returns the number of sequences in data that are predicted to be bound at least once by motif no. |
double |
getOffsetForAucPR()
This method returns an offset that must be added to scores for computing PR curves. |
double[][] |
getValuesForEachNucleotide(Sample data,
int component,
int motif,
boolean addOnlyBest)
This method determines a value for each symbol to be annotated at least in one motif occurrence of the motif with index index in the component component. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public SignificantMotifOccurrencesFinder(MotifDiscoverer disc,
SignificantMotifOccurrencesFinder.RandomSeqType type,
boolean oneHistogram,
int numSequences,
double sign)
SignificantMotifOccurrencesFinder that uses the given SignificantMotifOccurrencesFinder.RandomSeqType to determine the siginificance level.
disc - the MotifDiscoverer for the predictiontype - the type that determines how the significance level is determinedoneHistogram - a switch to decide whether to use one background distribution histogram for all sequence or sequence specific background distribution histogramsnumSequences - the number of sampled sequence instances used to determine the significance levelsign - the significance level
public SignificantMotifOccurrencesFinder(MotifDiscoverer disc,
Sample bg,
double sign)
SignificantMotifOccurrencesFinder that uses a Sample to determine the siginificance level.
disc - the MotifDiscoverer for the predictionbg - the background data setsign - the significance level| Method Detail |
|---|
public MotifAnnotation[] findSignificantMotifOccurrences(int motif,
Sequence seq,
int start)
throws Exception
motif - the motif indexseq - the sequencestart - the start position
MotifAnnotation for the sequence
Exception - if the background sample could not be created, or some of the scores could not be computed
public Sample annotateMotifs(Sample data)
throws Exception
Sample.
data - the Sample
Sample
Exception - if something went wrongannotateMotifs(int, Sample, int)
public Sample annotateMotifs(int startPos,
Sample data)
throws Exception
Sample starting in each sequence at startPos.
startPos - the start position used for all sequencesdata - the Sample
Sample
Exception - if something went wrongannotateMotifs(int, Sample, int)
public Sample annotateMotifs(Sample data,
int addMax)
throws Exception
Sample.
At most, addMax motif occurrences of each motif instance will be annotated.
data - the SampleaddMax - the number of motif occurrences that can at most be annotated for each motif instance
Sample
Exception - if something went wrongannotateMotifs(int, Sample, int)
public Sample annotateMotifs(int startPos,
Sample data,
int addMax)
throws Exception
Sample starting in each sequence at startPos.
At most, addMax motif occurrences of each motif instance will be annotated.
startPos - the start position used for all sequencesdata - the SampleaddMax - the number of motif occurrences that can at most be annotated for each motif instance
Sample
Exception - if something went wrongannotateMotifs(int, Sample, int)
public Sample getBindingSites(Sample data)
throws Exception
Sample containing the predicted binding sites.
data - the Sample
Sample containing the predicted binding sites
Exception - if something went wrong
public Sample getBindingSites(int startPos,
Sample data,
int addMax,
int addLeft,
int addRight)
throws Exception
Sample containing the predicted binding sites.
startPos - the start position used for all sequencesdata - the SampleaddMax - the number of motif occurrences that can at most be annotated for each motif instanceaddLeft - number of positions added to the left of the predicted motif occurrenceaddRight - number of positions added to the right of the predicted motif occurrence
Sample containing the predicted binding sites
Exception - if something went wrong
public int getNumberOfBoundSequences(Sample data,
int motifIndex)
throws Exception
data that are predicted to be bound at least once by motif no. motif.
data - the datamotifIndex - the index of the motif
data bound by motif motif
Exception - if the background sample for the prediction could not be created or some of the scores could not be computedpublic double getOffsetForAucPR()
SignificantMotifOccurrencesFinder
was instantiated using oneHistogram=true, the getValuesForEachNucleotide(Sample, int, int, boolean) returns scores and no offset is needed. Otherwise,
it returns p-values and, hence, 1-(p-value) must be used for the PR curve and the offset is 1.
MotifDiscoveryAssessment.getSortedValuesForMotifAndFlanking(Sample, double[][], double, double, String)public double getFactorForAucPR()
SignificantMotifOccurrencesFinder
was instantiated using oneHistogram=true, the getValuesForEachNucleotide(Sample, int, int, boolean) returns scores and a factor of 1 is appropriate. Otherwise,
it returns p-values and, hence, 1-(p-value) must be used for the PR curve and the factor is -1.
MotifDiscoveryAssessment.getSortedValuesForMotifAndFlanking(Sample, double[][], double, double, String)
public double[][] getValuesForEachNucleotide(Sample data,
int component,
int motif,
boolean addOnlyBest)
throws Exception
index in the component component.
data - the Samplecomponent - the component indexmotif - the motif indexaddOnlyBest - a switch whether to add only the best
p-value for each symbol in the sequence
Exception - if something went wrongMotifDiscoveryAssessment.getSortedValuesForMotifAndFlanking(Sample, double[][], double, double, String),
getOffsetForAucPR(),
getFactorForAucPR()
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