Uses of Class
ubic.gemma.model.expression.bioAssay.BioAssay
Packages that use BioAssay
Package
Description
This package contains classes for preprocessing expression data.
This package provides capabilities for slicing
BulkExpressionDataVector.This package contains classes for analysing single-cell expression data.
This package contains classes for subsetting and aggregating single-cell data.
This package contains data structures for representing matrices of gene expression.
This package contains I/O utilities for reading and writing expression data matrices.
This package contains interfaces and classes for loading expression data.
This package contains specific logic for dealing with single-cell data from GEO.
This package contains interfaces and classes for loading sequencing data.
This package contains classes for loading single-cell expression data.
Utilities for mapping
Identifiable entities to external identifiers.This package contains classes related to the Cell Browser visualization tool.
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Uses of BioAssay in ubic.gemma.cli.util
Methods in ubic.gemma.cli.util that return BioAssayModifier and TypeMethodDescriptionEntityLocator.locateBioAssay(ExpressionExperiment ee, String sampleId) EntityLocator.locateBioAssay(ExpressionExperiment ee, QuantitationType quantitationType, String sampleId) EntityLocatorImpl.locateBioAssay(ExpressionExperiment ee, String sampleId) EntityLocatorImpl.locateBioAssay(ExpressionExperiment ee, QuantitationType qt, String sampleId) -
Uses of BioAssay in ubic.gemma.core.analysis.preprocess
Method parameters in ubic.gemma.core.analysis.preprocess with type arguments of type BioAssayModifier and TypeMethodDescriptionOutlierDetectionService.identifyOutliersByMedianCorrelation(DoubleMatrix<BioAssay, BioAssay> cormat) Identify outliers by sorting by median, then looking for non-overlap of first quartile-second quartile range This is exposed for efficiency in geeq score calculation, use this#identifyOutliers(ExpressionExperiment, boolean, boolean) to have the correlation matrix computed correctly for you.OutlierDetectionService.identifyOutliersByMedianCorrelation(DoubleMatrix<BioAssay, BioAssay> cormat) Identify outliers by sorting by median, then looking for non-overlap of first quartile-second quartile range This is exposed for efficiency in geeq score calculation, use this#identifyOutliers(ExpressionExperiment, boolean, boolean) to have the correlation matrix computed correctly for you.OutlierDetectionServiceImpl.identifyOutliersByMedianCorrelation(DoubleMatrix<BioAssay, BioAssay> cormat) OutlierDetectionServiceImpl.identifyOutliersByMedianCorrelation(DoubleMatrix<BioAssay, BioAssay> cormat) -
Uses of BioAssay in ubic.gemma.core.analysis.preprocess.batcheffects
Methods in ubic.gemma.core.analysis.preprocess.batcheffects that return types with arguments of type BioAssayModifier and TypeMethodDescriptionBatchInfoParser.getAccessionToBioAssayMap(ExpressionExperiment ee) -
Uses of BioAssay in ubic.gemma.core.analysis.preprocess.slice
Method parameters in ubic.gemma.core.analysis.preprocess.slice with type arguments of type BioAssayModifier and TypeMethodDescriptionstatic <T extends BulkExpressionDataVector>
Function<T, T> BulkDataSlicerUtils.createSlicer(List<BioAssay> assays, Class<T> vectorType) Create a slicer function for bulk data vectors that can be applied on aStream.static <T extends BulkExpressionDataVector>
Collection<T> BulkDataSlicerUtils.slice(Collection<T> vectors, List<BioAssay> assays, Class<T> vectorType) Slice a collection of bulk data vectors. -
Uses of BioAssay in ubic.gemma.core.analysis.preprocess.svd
Methods in ubic.gemma.core.analysis.preprocess.svd that return types with arguments of type BioAssay -
Uses of BioAssay in ubic.gemma.core.analysis.service
Methods in ubic.gemma.core.analysis.service with parameters of type BioAssayModifier and TypeMethodDescriptionstatic StringExpressionDataFileUtils.formatBioAssayFilename(BioAssay ba) Method parameters in ubic.gemma.core.analysis.service with type arguments of type BioAssayModifier and TypeMethodDescriptionstatic StringExpressionDataFileUtils.getDataOutputFilename(ExpressionExperiment ee, List<BioAssay> assays, boolean filtered, String suffix) static StringExpressionDataFileUtils.getDataOutputFilename(ExpressionExperiment ee, List<BioAssay> assays, QuantitationType type, String suffix) Obtain the filename for writing a specific QT.ExpressionDataMatrixService.getProcessedExpressionDataMatrix(ExpressionExperiment ee, List<BioAssay> samples) ExpressionDataMatrixServiceImpl.getProcessedExpressionDataMatrix(ExpressionExperiment ee, List<BioAssay> samples) ExpressionDataMatrixService.getRawExpressionDataMatrix(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType quantitationType) ExpressionDataMatrixServiceImpl.getRawExpressionDataMatrix(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType quantitationType) voidOutlierFlaggingService.markAsMissing(Collection<BioAssay> assaysToRemove) This does not actually remove the sample; rather, it sets all values to "missing" in the processed data.voidOutlierFlaggingServiceImpl.markAsMissing(Collection<BioAssay> bioAssays) voidOutlierFlaggingService.unmarkAsMissing(Collection<BioAssay> bioAssays) Reverts the action of markAsMissing.voidOutlierFlaggingServiceImpl.unmarkAsMissing(Collection<BioAssay> bioAssays) intExpressionDataFileService.writeMexSingleCellExpressionData(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType qt, ScaleType scaleType, boolean useEnsemblIds, int fetchSize, boolean useCursorFetchIfSupported, boolean forceWrite, Path destDir, boolean autoFlush) intExpressionDataFileService.writeMexSingleCellExpressionData(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType qt, ScaleType scaleType, boolean useEnsemblIds, OutputStream stream) intExpressionDataFileServiceImpl.writeMexSingleCellExpressionData(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType qt, ScaleType scaleType, boolean useEnsemblIds, int fetchSize, boolean useCursorFetchIfSupported, boolean forceWrite, Path destDir, boolean autoFlush) intExpressionDataFileServiceImpl.writeMexSingleCellExpressionData(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType qt, ScaleType scaleType, boolean useEnsemblIds, OutputStream stream) intExpressionDataFileService.writeProcessedExpressionData(ExpressionExperiment ee, List<BioAssay> samples, boolean filtered, ScaleType scaleType, boolean excludeSampleIdentifiers, boolean useBioAssayIds, boolean useRawColumnNames, Writer writer, boolean autoFlush) intExpressionDataFileServiceImpl.writeProcessedExpressionData(ExpressionExperiment ee, List<BioAssay> samples, boolean filtered, ScaleType scaleType, boolean excludeSampleIdentifiers, boolean useBioAssayIds, boolean useRawColumnNames, Writer writer, boolean autoFlush) intExpressionDataFileService.writeRawExpressionData(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType qt, ScaleType scaleType, boolean excludeSampleIdentifiers, boolean useBioAssayIds, boolean useRawColumnNames, Writer writer, boolean autoFlush) intExpressionDataFileServiceImpl.writeRawExpressionData(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType qt, ScaleType scaleType, boolean excludeSampleIdentifiers, boolean useBioAssayIds, boolean useRawColumnNames, Writer writer, boolean autoFlush) intExpressionDataFileService.writeTabularSingleCellExpressionData(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType qt, ScaleType scaleType, boolean useBioAssayIds, boolean useRawColumnNames, int fetchSize, boolean useCursorFetchIfSupported, Writer writer, boolean autoFlush) intExpressionDataFileServiceImpl.writeTabularSingleCellExpressionData(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType qt, ScaleType scaleType, boolean useBioAssayIds, boolean useRawColumnNames, int fetchSize, boolean useCursorFetchIfSupported, Writer writer, boolean autoFlush) -
Uses of BioAssay in ubic.gemma.core.analysis.singleCell
Methods in ubic.gemma.core.analysis.singleCell with parameters of type BioAssayModifier and TypeMethodDescriptionstatic doubleSingleCellDescriptive.mean(SingleCellExpressionDataVector vector, BioAssay sample) Calculate the mean of a given assay.static doubleSingleCellDescriptive.sampleStandardDeviation(SingleCellExpressionDataVector vector, BioAssay sample) static doubleSingleCellDescriptive.sampleVariance(SingleCellExpressionDataVector vector, BioAssay sample) Calculate the variance of a given assay.Method parameters in ubic.gemma.core.analysis.singleCell with type arguments of type BioAssayModifier and TypeMethodDescriptionSingleCellSlicerUtils.createSlicer(List<BioAssay> assays) Create a slicer for single-cell data vectors.SingleCellSlicerUtils.createSlicer(List<BioAssay> assays, List<String> cellIds, Set<CellTypeAssignment> ctas, Set<CellLevelCharacteristics> clcs) Create a slicer for single-cell data vectors whose cell IDs, CTAs, and CLCs are already pre-sliced.SingleCellSlicerUtils.slice(Collection<SingleCellExpressionDataVector> vectors, List<BioAssay> bioAssays) SingleCellSlicerUtils.sliceCellIds(SingleCellDimension singleCellDimension, List<BioAssay> assays, int[] starts, int[] ends, int numCells) static Set<CellLevelCharacteristics> SingleCellSlicerUtils.sliceClcs(SingleCellDimension singleCellDimension, List<BioAssay> assays, int[] starts, int[] ends, int numCells) static Set<CellTypeAssignment> SingleCellSlicerUtils.sliceCtas(SingleCellDimension singleCellDimension, List<BioAssay> assays, int[] starts, int[] ends, int numCells) -
Uses of BioAssay in ubic.gemma.core.analysis.singleCell.aggregate
Method parameters in ubic.gemma.core.analysis.singleCell.aggregate with type arguments of type BioAssayModifier and TypeMethodDescriptionSingleCellExpressionExperimentAggregateService.aggregateVectors(ExpressionExperiment ee, QuantitationType qt, List<BioAssay> cellBAs, CellLevelCharacteristics cellLevelCharacteristics, ExperimentalFactor factor, Map<Characteristic, FactorValue> cellTypeMapping, SingleCellAggregationConfig config) Aggregate preferred single-cell data vectors by the given cell-level characteristics.SingleCellExpressionExperimentAggregateServiceImpl.aggregateVectors(ExpressionExperiment ee, QuantitationType qt, List<BioAssay> cellBAs, CellLevelCharacteristics cellLevelCharacteristics, ExperimentalFactor factor, Map<Characteristic, FactorValue> cellType2Factor, SingleCellAggregationConfig config) SingleCellExpressionExperimentAggregateService.aggregateVectorsByCellType(ExpressionExperiment ee, List<BioAssay> cellBAs, SingleCellAggregationConfig config) Aggregate preferred single-cell data vectors by the preferred cell type assignment and the only cell type factor of the experiment.SingleCellExpressionExperimentAggregateServiceImpl.aggregateVectorsByCellType(ExpressionExperiment ee, List<BioAssay> cellBAs, SingleCellAggregationConfig config) -
Uses of BioAssay in ubic.gemma.core.datastructure.matrix
Fields in ubic.gemma.core.datastructure.matrix with type parameters of type BioAssayModifier and TypeFieldDescriptionAbstractMultiAssayExpressionDataMatrix.columnAssayMapprotected Map<Integer, Collection<BioAssay>> AbstractMultiAssayExpressionDataMatrix.columnBioAssayMapByIntegerMethods in ubic.gemma.core.datastructure.matrix that return BioAssayModifier and TypeMethodDescriptionAbstractBulkExpressionDataMatrix.getBioAssayForColumn(int index) AbstractMultiAssayExpressionDataMatrix.getBioAssayForColumn(int index) BulkExpressionDataMatrix.getBioAssayForColumn(int index) Obtain an assay corresponding to a given column.EmptySingleCellExpressionDataMatrix.getBioAssayForColumn(int j) SingleCellExpressionDataDoubleMatrix.getBioAssayForColumn(int j) SingleCellExpressionDataIntMatrix.getBioAssayForColumn(int j) SingleCellExpressionDataMatrix.getBioAssayForColumn(int j) Obtain a bioassay applicable to a given column.Methods in ubic.gemma.core.datastructure.matrix that return types with arguments of type BioAssayModifier and TypeMethodDescriptionEmptySingleCellExpressionDataMatrix.getBioAssays()SingleCellExpressionDataDoubleMatrix.getBioAssays()SingleCellExpressionDataIntMatrix.getBioAssays()SingleCellExpressionDataMatrix.getBioAssays()Obtain the list of bioassays.AbstractMultiAssayExpressionDataMatrix.getBioAssaysForColumn(int index) MultiAssayBulkExpressionDataMatrix.getBioAssaysForColumn(int index) static <R> DoubleMatrix<R, BioAssay> ExpressionDataMatrixColumnSort.orderByExperimentalDesign(DoubleMatrix<R, BioAssay> mat, Collection<ExperimentalFactor> factors, ExperimentalFactor primaryFactor) Methods in ubic.gemma.core.datastructure.matrix with parameters of type BioAssayModifier and TypeMethodDescriptionAbstractBulkExpressionDataMatrix.get(CompositeSequence designElement, BioAssay bioAssay) AbstractMultiAssayExpressionDataMatrix.get(CompositeSequence designElement, BioAssay bioAssay) BulkExpressionDataMatrix.get(CompositeSequence designElement, BioAssay bioAssay) Access a single value of the matrix.T[]T[]T[]Access a single column of the matrix.double[]BulkExpressionDataDoubleMatrix.getColumnAsDoubles(BioAssay bioAssay) double[]BulkExpressionDataPrimitiveDoubleMatrix.getColumnAsDoubles(BioAssay bioAssay) Retrieve the given column without boxing.double[]ExpressionDataDoubleMatrix.getColumnAsDoubles(BioAssay bioAssay) int[]BulkExpressionDataIntMatrix.getColumnAsInts(BioAssay bioAssay) int[]BulkExpressionDataPrimitiveIntMatrix.getColumnAsInts(BioAssay bioAssay) Retrieve the given column without boxing.intAbstractBulkExpressionDataMatrix.getColumnIndex(BioAssay bioAssay) intAbstractMultiAssayExpressionDataMatrix.getColumnIndex(BioAssay bioAssay) Obtain the column index of a given assay.intBulkExpressionDataMatrix.getColumnIndex(BioAssay bioAssay) voidExpressionDataDoubleMatrix.set(CompositeSequence designElement, BioAssay bioAssay, Double value) Deprecated.Method parameters in ubic.gemma.core.datastructure.matrix with type arguments of type BioAssayModifier and TypeMethodDescriptionstatic <R> DoubleMatrix<R, BioAssay> ExpressionDataMatrixColumnSort.orderByExperimentalDesign(DoubleMatrix<R, BioAssay> mat, Collection<ExperimentalFactor> factors, ExperimentalFactor primaryFactor) protected <R,C, V> void AbstractMultiAssayExpressionDataMatrix.setMatBioAssayValues(AbstractMatrix<R, C, V> mat, Integer rowIndex, V[] vals, Collection<BioAssay> bioAssays, Iterator<BioAssay> it) protected <R,C, V> void AbstractMultiAssayExpressionDataMatrix.setMatBioAssayValues(AbstractMatrix<R, C, V> mat, Integer rowIndex, V[] vals, Collection<BioAssay> bioAssays, Iterator<BioAssay> it) -
Uses of BioAssay in ubic.gemma.core.datastructure.matrix.io
Methods in ubic.gemma.core.datastructure.matrix.io with parameters of type BioAssayModifier and TypeMethodDescriptionstatic StringExpressionDataWriterUtils.constructAssayName(BioAssay ba, boolean useIds, boolean useRawColumnNames) Construct a BioAssay column name, unprefixed by theBioMaterialfrom which it originates.static StringExpressionDataWriterUtils.constructCellIdName(BioAssay ba, String cellId, boolean useBioAssayIds, boolean useRawColumnNames) Construct a BioAssay column name, unprefixed by theBioMaterialfrom which it originates.static StringExpressionDataWriterUtils.constructSampleName(BioMaterial bm, BioAssay ba, boolean useIds, boolean useRawColumnNames) Construct a sample name in case there is only one BioAssay attached to the corresponding BioMaterial.Method parameters in ubic.gemma.core.datastructure.matrix.io with type arguments of type BioAssayModifier and TypeMethodDescriptionstatic StringExpressionDataWriterUtils.constructAssaysName(Collection<BioAssay> bas, boolean useIds, boolean useRawColumnNames, char assayDelimiter) static StringExpressionDataWriterUtils.constructSampleName(BioMaterial bioMaterial, Collection<BioAssay> bioAssays, boolean useIds, boolean useRawColumnNames, char assayDelimiter) Construct a BioAssay column name prefixed by theBioMaterialfrom which it originates.voidExperimentalDesignWriter.write(ExpressionExperiment ee, Collection<BioAssay> bioAssays, boolean writeBaseHeader, Writer writer) Write the experimental design of the givenExpressionExperimentto the givenWriterfor a given collection of assays.intMexMatrixWriter.write(Stream<SingleCellExpressionDataVector> vectors, int numVecs, Map<BioAssay, Long> nnzBySample, Map<CompositeSequence, Set<Gene>> cs2gene, Path outputDir) Writes a stream of vectors to a directory. -
Uses of BioAssay in ubic.gemma.core.loader.expression
Methods in ubic.gemma.core.loader.expression that return BioAssayModifier and TypeMethodDescriptionstatic BioAssayAffyPowerToolsProbesetSummarize.matchBioAssayToCelFileName(Map<String, BioAssay> bmap, String fileName) Method parameters in ubic.gemma.core.loader.expression with type arguments of type BioAssayModifier and TypeMethodDescriptionvoidDataUpdater.addCountData(ExpressionExperiment ee, ArrayDesign targetArrayDesign, DoubleMatrix<String, String> countMatrix, DoubleMatrix<String, String> rpkmMatrix, Map<BioAssay, SequencingMetadata> sequencingMetadata, boolean allowMissingSamples) voidDataUpdaterImpl.addCountData(ExpressionExperiment ee, ArrayDesign targetArrayDesign, DoubleMatrix<String, String> countMatrix, DoubleMatrix<String, String> rpkmMatrix, Map<BioAssay, SequencingMetadata> sequencingMetadata, boolean allowMissingSamples) RNA-seq: Replaces data.AbstractDelegatingDataLoader.getFactors(Collection<BioAssay> samples, Map<BioMaterial, Set<FactorValue>> factorValueAssignments) DataLoader.getFactors(Collection<BioAssay> samples, Map<BioMaterial, Set<FactorValue>> factorValueAssignments) Load experimental factors present in the data.AbstractDelegatingDataLoader.getSamplesCharacteristics(Collection<BioAssay> samples) DataLoader.getSamplesCharacteristics(Collection<BioAssay> samples) Load samples characteristics present in the data.static BioAssayAffyPowerToolsProbesetSummarize.matchBioAssayToCelFileName(Map<String, BioAssay> bmap, String fileName) -
Uses of BioAssay in ubic.gemma.core.loader.expression.arrayDesign
Methods in ubic.gemma.core.loader.expression.arrayDesign that return types with arguments of type BioAssayModifier and TypeMethodDescriptionAffyChipTypeExtractor.getChipTypes(ExpressionExperiment ee, Collection<File> files) Extract a string like "Rat230_2" from CEL files. -
Uses of BioAssay in ubic.gemma.core.loader.expression.geo.singleCell
Methods in ubic.gemma.core.loader.expression.geo.singleCell that return types with arguments of type BioAssayModifier and TypeMethodDescriptionGeoBioAssayMapper.matchAllInternal(Collection<BioAssay> bas, String sampleName) Methods in ubic.gemma.core.loader.expression.geo.singleCell with parameters of type BioAssayMethod parameters in ubic.gemma.core.loader.expression.geo.singleCell with type arguments of type BioAssayModifier and TypeMethodDescriptionGeoBioAssayMapper.matchAllInternal(Collection<BioAssay> bas, String sampleName) -
Uses of BioAssay in ubic.gemma.core.loader.expression.sequencing
Methods in ubic.gemma.core.loader.expression.sequencing that return types with arguments of type BioAssayModifier and TypeMethodDescriptionAbstractDelegatingSequencingDataLoader.getSequencingMetadata(Collection<BioAssay> samples) SequencingDataLoader.getSequencingMetadata(Collection<BioAssay> samples) Retrieve various sequencing metadata if counting data is present.SequencingMetadataFileDataLoader.getSequencingMetadata(Collection<BioAssay> bioAssays) Method parameters in ubic.gemma.core.loader.expression.sequencing with type arguments of type BioAssayModifier and TypeMethodDescriptionAbstractDelegatingSequencingDataLoader.getSequencingMetadata(Collection<BioAssay> samples) SequencingDataLoader.getSequencingMetadata(Collection<BioAssay> samples) Retrieve various sequencing metadata if counting data is present.SequencingMetadataFileDataLoader.getSequencingMetadata(Collection<BioAssay> bioAssays) -
Uses of BioAssay in ubic.gemma.core.loader.expression.singleCell
Methods in ubic.gemma.core.loader.expression.singleCell that return types with arguments of type BioAssayModifier and TypeMethodDescriptionAbstractDelegatingSingleCellDataLoader.getSequencingMetadata(SingleCellDimension dimension) AnnDataSingleCellDataLoader.getSequencingMetadata(Collection<BioAssay> samples) AnnDataSingleCellDataLoader.getSequencingMetadata(SingleCellDimension dimension) MexSingleCellDataLoader.getSequencingMetadata(Collection<BioAssay> samples) MexSingleCellDataLoader.getSequencingMetadata(SingleCellDimension dimension) NullSingleCellDataLoader.getSequencingMetadata(Collection<BioAssay> samples) NullSingleCellDataLoader.getSequencingMetadata(SingleCellDimension dimension) SequencingMetadataFileSingleCellDataLoader.getSequencingMetadata(Collection<BioAssay> samples) SequencingMetadataFileSingleCellDataLoader.getSequencingMetadata(SingleCellDimension dimension) SingleCellDataLoader.getSequencingMetadata(SingleCellDimension dimension) SingleCellDataLoaderService.loadSequencingMetadata(ExpressionExperiment ee, SingleCellDataLoaderConfig config) Load sequencing metadata.SingleCellDataLoaderServiceImpl.loadSequencingMetadata(ExpressionExperiment ee, SingleCellDataLoaderConfig config) Method parameters in ubic.gemma.core.loader.expression.singleCell with type arguments of type BioAssayModifier and TypeMethodDescriptionAnnDataSingleCellDataLoader.getFactors(Collection<BioAssay> samples, Map<BioMaterial, Set<FactorValue>> factorValueAssignments) MexSingleCellDataLoader.getFactors(Collection<BioAssay> samples, Map<BioMaterial, Set<FactorValue>> factorValueAssignments) MEX does not provide experimental factors.NullSingleCellDataLoader.getFactors(Collection<BioAssay> samples, Map<BioMaterial, Set<FactorValue>> factorValueAssignments) AnnDataSingleCellDataLoader.getSamplesCharacteristics(Collection<BioAssay> samples) MexSingleCellDataLoader.getSamplesCharacteristics(Collection<BioAssay> samples) MEX does not provide sample characteristics.NullSingleCellDataLoader.getSamplesCharacteristics(Collection<BioAssay> samples) AnnDataSingleCellDataLoader.getSequencingMetadata(Collection<BioAssay> samples) MexSingleCellDataLoader.getSequencingMetadata(Collection<BioAssay> samples) NullSingleCellDataLoader.getSequencingMetadata(Collection<BioAssay> samples) SequencingMetadataFileSingleCellDataLoader.getSequencingMetadata(Collection<BioAssay> samples) AbstractDelegatingSingleCellDataLoader.getSingleCellDimension(Collection<BioAssay> bioAssays) AnnDataSingleCellDataLoader.getSingleCellDimension(Collection<BioAssay> bioAssays) MexSingleCellDataLoader.getSingleCellDimension(Collection<BioAssay> bioAssays) NullSingleCellDataLoader.getSingleCellDimension(Collection<BioAssay> bioAssays) SingleCellDataLoader.getSingleCellDimension(Collection<BioAssay> bioAssays) Load the single-cell dimension present in the data.Constructor parameters in ubic.gemma.core.loader.expression.singleCell with type arguments of type BioAssayModifierConstructorDescriptionAnnDataSingleCellDataLoaderConfigurer(Path annDataFile, Collection<BioAssay> bioAssays, BioAssayMapper bioAssayMapper) MexSingleCellDataLoaderConfigurer(Path mexDir, Collection<BioAssay> bioAssays, BioAssayMapper bioAssayMapper, Path cellRangerPrefix, GeoSeries geoSeries) -
Uses of BioAssay in ubic.gemma.core.loader.util.mapper
Methods in ubic.gemma.core.loader.util.mapper that return types with arguments of type BioAssayModifier and TypeMethodDescriptionAbstractBioAssayMapper.forCandidates(Collection<BioAssay> candidates) BioAssayMapper.forCandidates(BioAssaySet bioAssaySet) RenamingBioAssayMapper.forCandidates(Collection<BioAssay> candidates) AbstractBioAssayMapper.matchAll(Collection<BioAssay> candidates, String identifier) AbstractBioAssayMapper.matchAll(Collection<BioAssay> candidates, Collection<String> identifiers) RenamingBioAssayMapper.matchAll(Collection<BioAssay> bioAssays, String sampleName) AbstractBioAssayMapper.matchAllInternal(Collection<BioAssay> candidates, String identifier) SimpleBioAssayMapper.matchAllInternal(Collection<BioAssay> bas, String n) AbstractBioAssayMapper.matchOne(Collection<BioAssay> candidates, String identifier) AbstractBioAssayMapper.matchOne(Collection<BioAssay> candidates, Collection<String> identifiers) RenamingBioAssayMapper.matchOne(Collection<BioAssay> bioAssays, String sampleName) Methods in ubic.gemma.core.loader.util.mapper with parameters of type BioAssayMethod parameters in ubic.gemma.core.loader.util.mapper with type arguments of type BioAssayModifier and TypeMethodDescriptionbooleanAbstractBioAssayMapper.contains(Collection<BioAssay> candidates, String identifier) booleanRenamingBioAssayMapper.contains(Collection<BioAssay> bioAssays, String sampleName) booleanAbstractBioAssayMapper.containsAny(Collection<BioAssay> candidates, Collection<String> identifiers) booleanRenamingBioAssayMapper.containsAny(Collection<BioAssay> bioAssays, Collection<String> sampleNames) AbstractBioAssayMapper.forCandidates(Collection<BioAssay> candidates) RenamingBioAssayMapper.forCandidates(Collection<BioAssay> candidates) static StringEntityMapperUtils.getPossibleIdentifiers(Collection<BioAssay> bioAssays, EntityMapper<BioAssay> mapper) Render a breakdown of possibleBioAssay -> sample identifierassociations.static StringEntityMapperUtils.getPossibleIdentifiers(Collection<BioAssay> bioAssays, EntityMapper<BioAssay> mapper) Render a breakdown of possibleBioAssay -> sample identifierassociations.AbstractBioAssayMapper.matchAll(Collection<BioAssay> candidates, String identifier) AbstractBioAssayMapper.matchAll(Collection<BioAssay> candidates, Collection<String> identifiers) RenamingBioAssayMapper.matchAll(Collection<BioAssay> bioAssays, String sampleName) AbstractBioAssayMapper.matchAllInternal(Collection<BioAssay> candidates, String identifier) SimpleBioAssayMapper.matchAllInternal(Collection<BioAssay> bas, String n) AbstractBioAssayMapper.matchOne(Collection<BioAssay> candidates, String identifier) AbstractBioAssayMapper.matchOne(Collection<BioAssay> candidates, Collection<String> identifiers) RenamingBioAssayMapper.matchOne(Collection<BioAssay> bioAssays, String sampleName) protected <T> booleanAbstractBioAssayMapper.matchWithFunction(Collection<BioAssay> bas, Function<BioAssay, T> extractor, BiFunction<T, String, Boolean> func, String sampleName, Collection<BioAssay> results) protected <T> booleanAbstractBioAssayMapper.matchWithFunction(Collection<BioAssay> bas, Function<BioAssay, T> extractor, BiFunction<T, String, Boolean> func, String sampleName, Collection<BioAssay> results) Constructor parameters in ubic.gemma.core.loader.util.mapper with type arguments of type BioAssay -
Uses of BioAssay in ubic.gemma.core.visualization
Methods in ubic.gemma.core.visualization that return types with arguments of type BioAssayModifier and TypeMethodDescriptionExpressionDataHeatmap.getAssays()SingleCellSparsityHeatmap.getDesignElementsPerSample()SingleCellSparsityHeatmap.getSamples()Method parameters in ubic.gemma.core.visualization with type arguments of type BioAssayModifier and TypeMethodDescriptionvoidSingleCellDataBoxplot.setBioAssays(List<BioAssay> bioAssays) Constructor parameters in ubic.gemma.core.visualization with type arguments of type BioAssayModifierConstructorDescriptionSingleCellSparsityHeatmap(ExpressionExperiment expressionExperiment, SingleCellDimension singleCellDimension, BioAssayDimension dimension, Collection<ExpressionExperimentSubSet> subSets, Map<BioAssay, Long> designElementsPerSample, SingleCellSparsityHeatmap.SingleCellHeatmapType type) -
Uses of BioAssay in ubic.gemma.core.visualization.cellbrowser
Methods in ubic.gemma.core.visualization.cellbrowser with parameters of type BioAssayModifier and TypeMethodDescriptionstatic StringCellBrowserUtils.constructCellId(BioAssay bioAssay, String cellId, boolean useBioAssayIds, boolean useRawColumnNames) Construct a cell ID for the Cell Browser.voidCellBrowserMetadataWriter.writeCell(BioAssay bioAssay, String cellId, int cellIndex, List<ExperimentalFactor> factors, Map<ExperimentalFactor, Map<BioMaterial, FactorValue>> factorValueMap, SortedMap<Category, Map<BioAssay, Characteristic>> bioAssayCharacteristics, SortedMap<Category, Map<BioMaterial, Characteristic>> sampleCharacteristics, List<CellLevelCharacteristics> clcs, Writer writer) Method parameters in ubic.gemma.core.visualization.cellbrowser with type arguments of type BioAssayModifier and TypeMethodDescriptionvoidCellBrowserMetadataWriter.writeCell(BioAssay bioAssay, String cellId, int cellIndex, List<ExperimentalFactor> factors, Map<ExperimentalFactor, Map<BioMaterial, FactorValue>> factorValueMap, SortedMap<Category, Map<BioAssay, Characteristic>> bioAssayCharacteristics, SortedMap<Category, Map<BioMaterial, Characteristic>> sampleCharacteristics, List<CellLevelCharacteristics> clcs, Writer writer) -
Uses of BioAssay in ubic.gemma.model.expression.bioAssay
Methods in ubic.gemma.model.expression.bioAssay that return BioAssayModifier and TypeMethodDescriptionstatic BioAssayBioAssay.Factory.newInstance()static BioAssayBioAssay.Factory.newInstance(String name) static BioAssayBioAssay.Factory.newInstance(String name, ArrayDesign arrayDesignUsed, BioMaterial sampleUsed) Methods in ubic.gemma.model.expression.bioAssay that return types with arguments of type BioAssayModifier and TypeMethodDescriptionBioAssayUtils.createBioAssayToSourceBioAssayMap(BioAssaySet sourceAssaySet, Collection<BioAssay> bas) Create a mapping between assays and their source assays from a givenBioAssaySet.BioAssayUtils.createBioAssayToSourceBioAssayMap(BioAssaySet sourceAssaySet, Collection<BioAssay> bas) Create a mapping between assays and their source assays from a givenBioAssaySet.static Map<Category, Map<BioAssay, Collection<Characteristic>>> BioAssayUtils.createCharacteristicMap(Collection<BioAssay> assays) Create a mapping of biomaterial to characteristics for each category.Method parameters in ubic.gemma.model.expression.bioAssay with type arguments of type BioAssayModifier and TypeMethodDescriptionBioAssayUtils.createBioAssayToSourceBioAssayMap(BioAssaySet sourceAssaySet, Collection<BioAssay> bas) Create a mapping between assays and their source assays from a givenBioAssaySet.static Map<Category, Map<BioAssay, Collection<Characteristic>>> BioAssayUtils.createCharacteristicMap(Collection<BioAssay> assays) Create a mapping of biomaterial to characteristics for each category.Constructors in ubic.gemma.model.expression.bioAssay with parameters of type BioAssayModifierConstructorDescriptionBioAssayValueObject(BioAssay bioAssay) BioAssayValueObject(BioAssay bioAssay, boolean basic) BioAssayValueObject(BioAssay bioAssay, boolean basic, boolean predictedOutlier) BioAssayValueObject(BioAssay bioAssay, Map<ArrayDesign, ArrayDesignValueObject> ad2vo, BioAssay sourceBioAssay, boolean basic, boolean allFactorValues) -
Uses of BioAssay in ubic.gemma.model.expression.bioAssayData
Methods in ubic.gemma.model.expression.bioAssayData that return BioAssayModifier and TypeMethodDescriptionSingleCellDimension.getBioAssay(int cellIndex) Obtain theBioAssayfor a given cell position.Methods in ubic.gemma.model.expression.bioAssayData that return types with arguments of type BioAssayModifier and TypeMethodDescriptionSingleCellDimensionUtils.createIndex(SingleCellDimension singleCellDimension) Create an index of bioassays to their cell IDs and their position in the bioassays.SingleCellDimensionUtils.createReverseIndex(SingleCellDimension singleCellDimension) Create a reverse index of cell IDs to their corresponding position in bioassays.BioAssayDimension.getBioAssays()SingleCellDimension.getBioAssays()List ofBioAssays applicable to the cells.Methods in ubic.gemma.model.expression.bioAssayData with parameters of type BioAssayModifier and TypeMethodDescriptionstatic double[]SingleCellExpressionDataVectorUtils.getSampleDataAsDoubles(SingleCellExpressionDataVector vector, BioAssay sample) static intSingleCellExpressionDataVectorUtils.getSampleEnd(SingleCellExpressionDataVector vector, BioAssay sample) static intSingleCellExpressionDataVectorUtils.getSampleEnd(SingleCellExpressionDataVector vector, BioAssay sample, int after) static intSingleCellExpressionDataVectorUtils.getSampleStart(SingleCellExpressionDataVector vector, BioAssay sample) static intSingleCellExpressionDataVectorUtils.getSampleStart(SingleCellExpressionDataVector vector, BioAssay sample, int after) Method parameters in ubic.gemma.model.expression.bioAssayData with type arguments of type BioAssayModifier and TypeMethodDescriptionstatic BioAssayDimensionBioAssayDimension.Factory.newInstance(List<BioAssay> bioAssays) voidBioAssayDimension.setBioAssays(List<BioAssay> bioAssays) voidSingleCellDimension.setBioAssays(List<BioAssay> bioAssays) List ofBioAssays applicable to the cells. -
Uses of BioAssay in ubic.gemma.model.expression.biomaterial
Methods in ubic.gemma.model.expression.biomaterial that return types with arguments of type BioAssayModifier and TypeMethodDescriptionBioMaterial.getAllBioAssaysUsedIn()Obtain all the assays used in the hierarchy of biomaterials viaBioMaterial.getSourceBioMaterial().BioMaterial.getBioAssaysUsedIn()Method parameters in ubic.gemma.model.expression.biomaterial with type arguments of type BioAssayModifier and TypeMethodDescriptionvoidBioMaterial.setBioAssaysUsedIn(Set<BioAssay> bioAssaysUsedIn) Constructors in ubic.gemma.model.expression.biomaterial with parameters of type BioAssay -
Uses of BioAssay in ubic.gemma.model.expression.experiment
Methods in ubic.gemma.model.expression.experiment that return types with arguments of type BioAssayMethod parameters in ubic.gemma.model.expression.experiment with type arguments of type BioAssay -
Uses of BioAssay in ubic.gemma.persistence.service.analysis.expression.sampleCoexpression
Methods in ubic.gemma.persistence.service.analysis.expression.sampleCoexpression that return types with arguments of type BioAssayModifier and TypeMethodDescriptionSampleCoexpressionAnalysisService.compute(ExpressionExperiment ee, PreparedCoexMatrices matrices) Computes sample correlation matrices for the given experiment.SampleCoexpressionAnalysisService.compute(ExpressionExperiment ee, PreparedCoexMatrices matrices) Computes sample correlation matrices for the given experiment.SampleCoexpressionAnalysisServiceImpl.compute(ExpressionExperiment ee, PreparedCoexMatrices matrices) Unfortunately, this method breaks under high contention (see #400, so we need to fully lock the database while undergoing usingIsolation.SERIALIZABLEtransaction isolation level.SampleCoexpressionAnalysisServiceImpl.compute(ExpressionExperiment ee, PreparedCoexMatrices matrices) Unfortunately, this method breaks under high contention (see #400, so we need to fully lock the database while undergoing usingIsolation.SERIALIZABLEtransaction isolation level.SampleCoexpressionAnalysisService.loadBestMatrix(ExpressionExperiment ee) Loads the analysis containing the coexpression matrices for the given experiment and converts the regressed coexpression matrix into a double matrix.SampleCoexpressionAnalysisService.loadBestMatrix(ExpressionExperiment ee) Loads the analysis containing the coexpression matrices for the given experiment and converts the regressed coexpression matrix into a double matrix.SampleCoexpressionAnalysisServiceImpl.loadBestMatrix(ExpressionExperiment ee) SampleCoexpressionAnalysisServiceImpl.loadBestMatrix(ExpressionExperiment ee) SampleCoexpressionAnalysisService.loadFullMatrix(ExpressionExperiment ee) Loads the analysis containing the coexpression matrices for the given experiment and converts the full (non-regressed) coexpression matrix into a double matrix.SampleCoexpressionAnalysisService.loadFullMatrix(ExpressionExperiment ee) Loads the analysis containing the coexpression matrices for the given experiment and converts the full (non-regressed) coexpression matrix into a double matrix.SampleCoexpressionAnalysisServiceImpl.loadFullMatrix(ExpressionExperiment ee) SampleCoexpressionAnalysisServiceImpl.loadFullMatrix(ExpressionExperiment ee) SampleCoexpressionAnalysisService.loadRegressedMatrix(ExpressionExperiment ee) Load the regressed coexpression matrix for the given experiment.SampleCoexpressionAnalysisService.loadRegressedMatrix(ExpressionExperiment ee) Load the regressed coexpression matrix for the given experiment.SampleCoexpressionAnalysisServiceImpl.loadRegressedMatrix(ExpressionExperiment ee) SampleCoexpressionAnalysisServiceImpl.loadRegressedMatrix(ExpressionExperiment ee) SampleCoexpressionAnalysisService.retrieveExisting(ExpressionExperiment ee) SampleCoexpressionAnalysisService.retrieveExisting(ExpressionExperiment ee) SampleCoexpressionAnalysisServiceImpl.retrieveExisting(ExpressionExperiment ee) SampleCoexpressionAnalysisServiceImpl.retrieveExisting(ExpressionExperiment ee) -
Uses of BioAssay in ubic.gemma.persistence.service.expression.arrayDesign
Methods in ubic.gemma.persistence.service.expression.arrayDesign that return types with arguments of type BioAssayModifier and TypeMethodDescriptionArrayDesignDao.getAllAssociatedBioAssays(ArrayDesign arrayDesign) ArrayDesignDaoImpl.getAllAssociatedBioAssays(ArrayDesign arrayDesign) ArrayDesignService.getAllAssociatedBioAssays(ArrayDesign arrayDesign) ArrayDesignServiceImpl.getAllAssociatedBioAssays(ArrayDesign arrayDesign) -
Uses of BioAssay in ubic.gemma.persistence.service.expression.bioAssay
Methods in ubic.gemma.persistence.service.expression.bioAssay that return BioAssayModifier and TypeMethodDescriptionBioAssayDao.findByShortName(String shortName) BioAssayDaoImpl.findByShortName(String shortName) BioAssayService.findByShortName(String shortName) BioAssayServiceImpl.findByShortName(String shortName) BioAssayService.findOrCreate(BioAssay bioAssay) Methods in ubic.gemma.persistence.service.expression.bioAssay that return types with arguments of type BioAssayModifier and TypeMethodDescriptionBioAssayDao.findByAccession(String accession) BioAssayDaoImpl.findByAccession(String accession) BioAssayService.findByAccession(String accession) BioAssayServiceImpl.findByAccession(String accession) BioAssayService.findSiblings(BioAssay bioAssay) BioAssayServiceImpl.findSiblings(BioAssay bioAssay) BioAssayService.findSubBioAssays(BioAssay bioAssay, boolean direct) BioAssayServiceImpl.findSubBioAssays(BioAssay bioAssay, boolean direct) BioAssayService.load(Collection<Long> ids) BioAssayService.loadAll()BioAssayService.thaw(Collection<BioAssay> bioAssays) BioAssayServiceImpl.thaw(Collection<BioAssay> bioAssays) Methods in ubic.gemma.persistence.service.expression.bioAssay with parameters of type BioAssayModifier and TypeMethodDescriptionvoidBioAssayService.addBioMaterialAssociation(BioAssay bioAssay, BioMaterial bioMaterial) Associates a bioMaterial with a specified bioAssay.voidBioAssayServiceImpl.addBioMaterialAssociation(BioAssay bioAssay, BioMaterial bioMaterial) protected BioAssayValueObjectBioAssayDaoImpl.doLoadValueObject(BioAssay entity) BioAssayDao.findBioAssayDimensions(BioAssay bioAssay) BioAssayDaoImpl.findBioAssayDimensions(BioAssay bioAssay) BioAssayService.findBioAssayDimensions(BioAssay bioAssay) Locate all BioAssayDimensions in which the selected BioAssay occursBioAssayServiceImpl.findBioAssayDimensions(BioAssay bioAssay) BioAssayService.findOrCreate(BioAssay bioAssay) BioAssayService.findSiblings(BioAssay bioAssay) BioAssayServiceImpl.findSiblings(BioAssay bioAssay) BioAssayService.findSubBioAssays(BioAssay bioAssay, boolean direct) BioAssayServiceImpl.findSubBioAssays(BioAssay bioAssay, boolean direct) BioAssayDao.getBioAssaySets(BioAssay bioAssay) BioAssayDaoImpl.getBioAssaySets(BioAssay bioAssay) BioAssayService.getBioAssaySets(BioAssay bioAssay) Obtain all theBioAssaySetthat contain the givenBioAssay.BioAssayServiceImpl.getBioAssaySets(BioAssay bioAssay) voidvoidBioAssayService.removeBioMaterialAssociation(BioAssay bioAssay, BioMaterial bioMaterial) Removes the association between a specific bioMaterial and a bioAssay.voidBioAssayServiceImpl.removeBioMaterialAssociation(BioAssay bioAssay, BioMaterial bioMaterial) voidMethod parameters in ubic.gemma.persistence.service.expression.bioAssay with type arguments of type BioAssayModifier and TypeMethodDescriptionBioAssayDao.loadValueObjects(Collection<BioAssay> entities, Map<ArrayDesign, ArrayDesignValueObject> ad2vo, Map<BioAssay, BioAssay> assay2sourceAssayMap, boolean basic, boolean allFactorValues) BioAssayDaoImpl.loadValueObjects(Collection<BioAssay> entities, Map<ArrayDesign, ArrayDesignValueObject> ad2vo, Map<BioAssay, BioAssay> assay2sourceAssayMap, boolean basic, boolean allFactorValues) BioAssayService.loadValueObjects(Collection<BioAssay> entities, Map<BioAssay, BioAssay> assay2sourceAssayMap, boolean basic, boolean allFactorValues) BioAssayService.loadValueObjects(Collection<BioAssay> entities, Map<BioAssay, BioAssay> assay2sourceAssayMap, boolean basic, boolean allFactorValues) BioAssayService.loadValueObjects(Collection<BioAssay> entities, Map<BioAssay, BioAssay> assay2sourceAssayMap, boolean basic, boolean allFactorValues) BioAssayServiceImpl.loadValueObjects(Collection<BioAssay> entities, Map<BioAssay, BioAssay> assay2sourceAssayMap, boolean basic, boolean allFactorValues) BioAssayServiceImpl.loadValueObjects(Collection<BioAssay> entities, Map<BioAssay, BioAssay> assay2sourceAssayMap, boolean basic, boolean allFactorValues) BioAssayServiceImpl.loadValueObjects(Collection<BioAssay> entities, Map<BioAssay, BioAssay> assay2sourceAssayMap, boolean basic, boolean allFactorValues) BioAssayService.thaw(Collection<BioAssay> bioAssays) BioAssayServiceImpl.thaw(Collection<BioAssay> bioAssays) -
Uses of BioAssay in ubic.gemma.persistence.service.expression.bioAssayData
Method parameters in ubic.gemma.persistence.service.expression.bioAssayData with type arguments of type BioAssayModifier and TypeMethodDescriptionBioAssayDimensionDao.findByBioAssaysContainingAll(Collection<BioAssay> bioAssays) Find all the dimensions that contains all the given assays.BioAssayDimensionDaoImpl.findByBioAssaysContainingAll(Collection<BioAssay> bioAssays) BioAssayDimensionService.findByBioAssaysContainingAll(Collection<BioAssay> bioAssays) BioAssayDimensionServiceImpl.findByBioAssaysContainingAll(Collection<BioAssay> bioAssays) -
Uses of BioAssay in ubic.gemma.persistence.service.expression.biomaterial
Methods in ubic.gemma.persistence.service.expression.biomaterial that return types with arguments of type BioAssayModifier and TypeMethodDescriptionBioMaterialDao.getExpressionExperiments(BioMaterial bm) Obtain all the experiments a biomaterial is used in from its hierarchy.BioMaterialDaoImpl.getExpressionExperiments(BioMaterial bm) BioMaterialService.getExpressionExperiments(BioMaterial bm) BioMaterialServiceImpl.getExpressionExperiments(BioMaterial bm) -
Uses of BioAssay in ubic.gemma.persistence.service.expression.experiment
Methods in ubic.gemma.persistence.service.expression.experiment that return types with arguments of type BioAssayModifier and TypeMethodDescriptionExpressionExperimentDao.getNumberOfDesignElementsPerSample(ExpressionExperiment expressionExperiment) ExpressionExperimentDaoImpl.getNumberOfDesignElementsPerSample(ExpressionExperiment expressionExperiment) ExpressionExperimentService.getNumberOfDesignElementsPerSample(ExpressionExperiment expressionExperiment) Obtain the number of design elements for the platform of each bioassay in the given experiment.ExpressionExperimentServiceImpl.getNumberOfDesignElementsPerSample(ExpressionExperiment expressionExperiment) ExpressionExperimentDao.getNumberOfNonZeroesBySample(ExpressionExperiment ee, QuantitationType qt, int fetchSize, boolean useCursorFetchIfSupported) Obtain the number of non-zeroes by sample.ExpressionExperimentDaoImpl.getNumberOfNonZeroesBySample(ExpressionExperiment ee, QuantitationType qt, int fetchSize, boolean useCursorFetchIfSupported) SingleCellExpressionExperimentService.getNumberOfNonZeroesBySample(ExpressionExperiment ee, QuantitationType qt, int fetchSize, boolean useCursorFetchIfSupported) SingleCellExpressionExperimentServiceImpl.getNumberOfNonZeroesBySample(ExpressionExperiment ee, QuantitationType qt, int fetchSize, boolean useCursorFetchIfSupported) Methods in ubic.gemma.persistence.service.expression.experiment with parameters of type BioAssayModifier and TypeMethodDescriptionExpressionExperimentDao.findByBioAssay(BioAssay ba) ExpressionExperimentDaoImpl.findByBioAssay(BioAssay ba) ExpressionExperimentService.findByBioAssay(BioAssay ba) ExpressionExperimentServiceImpl.findByBioAssay(BioAssay ba) Method parameters in ubic.gemma.persistence.service.expression.experiment with type arguments of type BioAssayModifier and TypeMethodDescriptionExpressionExperimentSubSetDao.findByBioAssayIn(Collection<BioAssay> bioAssays) ExpressionExperimentSubSetDaoImpl.findByBioAssayIn(Collection<BioAssay> bioAssays) ExpressionExperimentSubSetService.findByBioAssayIn(Collection<BioAssay> bioAssays) ExpressionExperimentSubSetServiceImpl.findByBioAssayIn(Collection<BioAssay> bioAssays) ExpressionExperimentDao.getProcessedDataVectors(ExpressionExperiment ee, List<BioAssay> assays) Retrieve a slice of processed vectors for an experiment.ExpressionExperimentDaoImpl.getProcessedDataVectors(ExpressionExperiment ee, List<BioAssay> assays) ExpressionExperimentService.getProcessedDataVectors(ExpressionExperiment ee, List<BioAssay> assays) ExpressionExperimentServiceImpl.getProcessedDataVectors(ExpressionExperiment ee, List<BioAssay> assays) ExpressionExperimentDao.getRawDataVectors(ExpressionExperiment ee, List<BioAssay> assays, QuantitationType qt) Obtain a slice of the raw vectors for a given experiment and QT.ExpressionExperimentDaoImpl.getRawDataVectors(ExpressionExperiment ee, List<BioAssay> assays, QuantitationType qt) ExpressionExperimentService.getRawDataVectors(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType qt) ExpressionExperimentServiceImpl.getRawDataVectors(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType qt) SingleCellExpressionExperimentService.getSingleCellDataVectors(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType quantitationType) Obtain single-cell vectors for a particular sample.SingleCellExpressionExperimentService.getSingleCellDataVectors(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType quantitationType, SingleCellExpressionExperimentService.SingleCellVectorInitializationConfig config) SingleCellExpressionExperimentServiceImpl.getSingleCellDataVectors(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType quantitationType) SingleCellExpressionExperimentServiceImpl.getSingleCellDataVectors(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType quantitationType, SingleCellExpressionExperimentService.SingleCellVectorInitializationConfig config) SingleCellExpressionExperimentService.getSingleCellExpressionDataMatrix(ExpressionExperiment expressionExperiment, List<BioAssay> samples, QuantitationType quantitationType) Obtain a single-cell expression data matrix for the given quantitation type.SingleCellExpressionExperimentServiceImpl.getSingleCellExpressionDataMatrix(ExpressionExperiment expressionExperiment, List<BioAssay> samples, QuantitationType quantitationType) SingleCellExpressionExperimentService.streamSingleCellDataVectors(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType quantitationType, int fetchSize, boolean useCursorFetchIfSupported, boolean createNewSession) SingleCellExpressionExperimentService.streamSingleCellDataVectors(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType quantitationType, int fetchSize, boolean useCursorFetchIfSupported, boolean createNewSession, SingleCellExpressionExperimentService.SingleCellVectorInitializationConfig config) SingleCellExpressionExperimentServiceImpl.streamSingleCellDataVectors(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType quantitationType, int fetchSize, boolean useCursorFetchIfSupported, boolean createNewSession) SingleCellExpressionExperimentServiceImpl.streamSingleCellDataVectors(ExpressionExperiment ee, List<BioAssay> samples, QuantitationType quantitationType, int fetchSize, boolean useCursorFetchIfSupported, boolean createNewSession, SingleCellExpressionExperimentService.SingleCellVectorInitializationConfig config) -
Uses of BioAssay in ubic.gemma.persistence.util
Methods in ubic.gemma.persistence.util with parameters of type BioAssayModifier and TypeMethodDescriptionstatic voidBusinessKey.addRestrictions(Criteria queryObject, BioAssay bioAssay) static CriteriaBusinessKey.createQueryObject(Session session, BioAssay bioAssay) static voidThaws.thawBioAssay(BioAssay ba) Thaw the given BioAssay.Method parameters in ubic.gemma.persistence.util with type arguments of type BioAssayModifier and TypeMethodDescriptionEntityUrlBuilder.ExpressionExperimentWebUrl.showSingleCellExpressionData(QuantitationType quantitationType, CompositeSequence designElement, List<BioAssay> assays, CellLevelCharacteristics cellLevelCharacteristics, Characteristic focusedCharacteristic)