Interface MatrixRowPairAnalysis
- All Known Implementing Classes:
AbstractMatrixRowPairAnalysis,PearsonMetrics,SpearmanMetrics
public interface MatrixRowPairAnalysis
- Author:
- Paul Pavlidis
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Field Summary
Fields -
Method Summary
Modifier and TypeMethodDescriptionvoidlongUse after analysis.doubledoublegetScoreInBin(int i) intvoidsetDuplicateMap(Map<CompositeSequence, Set<Gene>> probeToGeneMap) voidsetLowerTailThreshold(double k) voidsetMinNumpresent(int minSamplesToKeepCorrelation) voidsetOmitNegativeCorrelationLinks(boolean omitNegativeCorrelationLinks) voidsetPValueThreshold(double k) voidsetUpperTailThreshold(double k) voidsetUseAbsoluteValue(boolean k) voidsetUsePvalueThreshold(boolean useIt) Default is true; set to false to disable use of the pvalue threshold, in which case only the upper and lower tail thresholds will be used.intsize()
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Field Details
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NUM_BINS
static final int NUM_BINS- See Also:
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Method Details
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calculateMetrics
void calculateMetrics() -
getHistogramArrayList
DoubleArrayList getHistogramArrayList() -
getKeepers
ObjectArrayList getKeepers() -
getMetricType
QuantitationType getMetricType() -
getProbeForRow
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getScoreInBin
double getScoreInBin(int i) -
numCached
int numCached() -
setDuplicateMap
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setLowerTailThreshold
void setLowerTailThreshold(double k) -
setMinNumpresent
void setMinNumpresent(int minSamplesToKeepCorrelation) -
setOmitNegativeCorrelationLinks
void setOmitNegativeCorrelationLinks(boolean omitNegativeCorrelationLinks) -
setPValueThreshold
void setPValueThreshold(double k) -
setUpperTailThreshold
void setUpperTailThreshold(double k) -
setUseAbsoluteValue
void setUseAbsoluteValue(boolean k) -
setUsePvalueThreshold
void setUsePvalueThreshold(boolean useIt) Default is true; set to false to disable use of the pvalue threshold, in which case only the upper and lower tail thresholds will be used.- Parameters:
useIt- new value
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getCrossHybridizationRejections
long getCrossHybridizationRejections()Use after analysis.- Returns:
- how many pairs were rejected due to cross-hybridization potential
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getNumUniqueGenes
double getNumUniqueGenes() -
size
int size()- Returns:
- how many rows/columns the matrix has.
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