Uses of Interface
ubic.gemma.model.expression.bioAssayData.CellLevelCharacteristics
Packages that use CellLevelCharacteristics
Package
Description
This package contains classes for analysing single-cell expression data.
This package contains classes for subsetting and aggregating single-cell data.
This package contains classes for loading single-cell expression data.
This package contains classes for loading single-cell metadata such as cell type assignment and cell-level
characteristics.
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Uses of CellLevelCharacteristics in ubic.gemma.cli.util
Methods in ubic.gemma.cli.util that return CellLevelCharacteristicsModifier and TypeMethodDescriptionEntityLocator.locateCellLevelCharacteristics(ExpressionExperiment expressionExperiment, QuantitationType qt, String clcIdentifier) EntityLocatorImpl.locateCellLevelCharacteristics(ExpressionExperiment expressionExperiment, QuantitationType qt, String clcIdentifier) -
Uses of CellLevelCharacteristics in ubic.gemma.core.analysis.singleCell
Methods in ubic.gemma.core.analysis.singleCell that return CellLevelCharacteristicsModifier and TypeMethodDescriptionstatic CellLevelCharacteristicsSingleCellMaskUtils.createMask(boolean[] mask) Create a mask from a boolean array.Methods in ubic.gemma.core.analysis.singleCell that return types with arguments of type CellLevelCharacteristicsModifier and TypeMethodDescriptionstatic Set<CellLevelCharacteristics> SingleCellSlicerUtils.sliceClcs(SingleCellDimension singleCellDimension, List<BioAssay> assays, int[] starts, int[] ends, int numCells) Methods in ubic.gemma.core.analysis.singleCell with parameters of type CellLevelCharacteristicsModifier and TypeMethodDescriptionvoidSingleCellSparsityMetrics.addExpressedCells(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int characteristicIndex, boolean[] isExpressed) Populate a boolean vector that indicates if a cell has at least one expressed gene.static intSingleCellDescriptive.countFast(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) static int[]SingleCellDescriptive.countFast(SingleCellExpressionDataVector vector, CellLevelCharacteristics cellLevelCharacteristics) static int[]SingleCellDescriptive.countFastWithUnknown(SingleCellExpressionDataVector vector, CellLevelCharacteristics cellLevelCharacteristics) static Map<Characteristic, FactorValue> CellLevelCharacteristicsMappingUtils.createMappingByFactorValueCharacteristics(CellLevelCharacteristics cta, ExperimentalFactor factor) Map the cell types from a cell type assignment to factor values in a cell type factor.static Map<Characteristic, FactorValue> CellLevelCharacteristicsMappingUtils.createMappingBySubSetCharacteristics(CellLevelCharacteristics clc, ExperimentalFactor factor, Map<FactorValue, ExpressionExperimentSubSet> subsets) Infer the mapping of cell type assignments to factor values using a subset structure.intSingleCellSparsityMetrics.getNumberOfCells(Collection<SingleCellExpressionDataVector> vectors, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int characteristicIndex) Calculate the number of cells with at least one gene expressed.intSingleCellSparsityMetrics.getNumberOfCellsByDesignElements(Collection<SingleCellExpressionDataVector> vectors, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int characteristicIndex) Calculate the number of expressed cell by gene pairs.intSingleCellSparsityMetrics.getNumberOfCellsByDesignElements(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int characteristicIndex) intSingleCellSparsityMetrics.getNumberOfDesignElements(Collection<SingleCellExpressionDataVector> vectors, int sampleIndex, CellLevelCharacteristics characteristic, int characteristicIndex) Calculate the number of genes expressed in at least one cell.intSingleCellSparsityMetrics.getNumberOfDesignElements(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics characteristic, int characteristicIndex) static doubleSingleCellDescriptive.max(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) static double[]SingleCellDescriptive.max(SingleCellExpressionDataVector vector, CellLevelCharacteristics cellLevelCharacteristics) static doubleSingleCellDescriptive.mean(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) static doubleSingleCellDescriptive.median(SingleCellExpressionDataVector vector, int column, CellLevelCharacteristics cellLevelCharacteristics, int row) static doubleSingleCellDescriptive.min(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) static double[]SingleCellDescriptive.min(SingleCellExpressionDataVector vector, CellLevelCharacteristics cellLevelCharacteristics) static boolean[]SingleCellMaskUtils.parseMask(CellLevelCharacteristics mask) Parse a mask from aCellLevelCharacteristicsobject.static boolean[]SingleCellMaskUtils.parseMask(CellLevelCharacteristics mask, boolean createArray) static doubleSingleCellDescriptive.quantile(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row, double q) static double[]SingleCellDescriptive.quantile(SingleCellExpressionDataVector vector, CellLevelCharacteristics cellLevelCharacteristics, int row, double q) static Map<Characteristic, FactorValue> CellLevelCharacteristicsMappingUtils.readMappingFromFile(CellLevelCharacteristics clc, ExperimentalFactor factor, Path cellTypeMappingFile) Create a mapping of cell type assignments to factor values from a file.static double[]SingleCellDescriptive.sum(SingleCellExpressionDataVector vector, CellLevelCharacteristics cellLevelCharacteristics) static double[]SingleCellDescriptive.sumWithUnknown(SingleCellExpressionDataVector vector, CellLevelCharacteristics cellLevelCharacteristics) static voidSingleCellMaskUtils.validateMask(CellLevelCharacteristics mask) Validate a mask.static voidCellLevelCharacteristicsMappingUtils.writeMapping(CellLevelCharacteristics cta, ExperimentalFactor factor, Map<Characteristic, FactorValue> cta2f, Writer dest) Create a mapping of cell type assignments to factor values from a file. -
Uses of CellLevelCharacteristics in ubic.gemma.core.analysis.singleCell.aggregate
Methods in ubic.gemma.core.analysis.singleCell.aggregate that return CellLevelCharacteristicsModifier and TypeMethodDescriptionSingleCellAggregationConfig.getMask()Categorical mask to use on data.Methods in ubic.gemma.core.analysis.singleCell.aggregate with parameters of type CellLevelCharacteristicsModifier and TypeMethodDescriptionstatic Collection<RawExpressionDataVector> SingleCellDataVectorAggregatorUtils.aggregate(Collection<SingleCellExpressionDataVector> vectors, SingleCellDataVectorAggregatorUtils.SingleCellAggregationMethod method, CellLevelCharacteristics cellLevelCharacteristics, boolean aggregateUnknownCharacteristics) Aggregate a collection of vectors.SingleCellExpressionExperimentAggregateService.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) SingleCellDataVectorAggregatorUtils.createAggregator(SingleCellDataVectorAggregatorUtils.SingleCellAggregationMethod method, CellLevelCharacteristics cellLevelCharacteristics, boolean aggregateUnknownCharacteristics) Create an aggregator that can be used on aStreamof vectors.SingleCellExpressionExperimentSubSetService.createSubSets(ExpressionExperiment ee, CellLevelCharacteristics clc, ExperimentalFactor factor, Map<Characteristic, FactorValue> cellTypeMapping, SingleCellExperimentSubSetsCreationConfig config) Subset biomaterials and bioassays by the givenCellLevelCharacteristics.SingleCellExpressionExperimentSubSetServiceImpl.createSubSets(ExpressionExperiment ee, CellLevelCharacteristics clc, ExperimentalFactor factor, Map<Characteristic, FactorValue> mappedCellTypeFactors, SingleCellExperimentSubSetsCreationConfig config) SingleCellExpressionExperimentCreateSubSetsAndAggregateService.createSubSetsAndAggregate(ExpressionExperiment expressionExperiment, QuantitationType scQt, CellLevelCharacteristics cta, ExperimentalFactor cellTypeFactor, Map<Characteristic, FactorValue> c2f, SingleCellExperimentSubSetsCreationConfig singleCellExperimentSubSetsCreationConfig, SingleCellAggregationConfig config) Create subsets and aggregate by any cell-level characteristics.SingleCellExpressionExperimentCreateSubSetsAndAggregateServiceImpl.createSubSetsAndAggregate(ExpressionExperiment expressionExperiment, QuantitationType scQt, CellLevelCharacteristics clc, ExperimentalFactor cellTypeFactor, Map<Characteristic, FactorValue> c2f, SingleCellExperimentSubSetsCreationConfig singleCellExperimentSubSetsCreationConfig, SingleCellAggregationConfig config) SingleCellAggregationConfig.SingleCellAggregationConfigBuilder.mask(CellLevelCharacteristics mask) Categorical mask to use on data.SingleCellExpressionExperimentCreateSubSetsAndAggregateService.redoAggregate(ExpressionExperiment expressionExperiment, QuantitationType scQt, CellLevelCharacteristics clc, ExperimentalFactor factor, Map<Characteristic, FactorValue> c2f, BioAssayDimension dimension, QuantitationType previousQt, SingleCellAggregationConfig config) Re-aggregate a dataset by any cell-level characteristics.SingleCellExpressionExperimentCreateSubSetsAndAggregateServiceImpl.redoAggregate(ExpressionExperiment expressionExperiment, QuantitationType scQt, CellLevelCharacteristics clc, ExperimentalFactor factor, Map<Characteristic, FactorValue> c2f, BioAssayDimension dimension, QuantitationType previousQt, SingleCellAggregationConfig config) -
Uses of CellLevelCharacteristics in ubic.gemma.core.loader.expression.singleCell
Methods in ubic.gemma.core.loader.expression.singleCell that return types with arguments of type CellLevelCharacteristicsModifier and TypeMethodDescriptionAbstractDelegatingSingleCellDataLoader.getOtherCellLevelCharacteristics(SingleCellDimension dimension) AnnDataSingleCellDataLoader.getOtherCellLevelCharacteristics(SingleCellDimension dimension) MexSingleCellDataLoader.getOtherCellLevelCharacteristics(SingleCellDimension dimension) NullSingleCellDataLoader.getOtherCellLevelCharacteristics(SingleCellDimension dimension) SingleCellDataLoader.getOtherCellLevelCharacteristics(SingleCellDimension dimension) Load cell-level characteristics that are not cell type assignments present in the data.SingleCellDataLoaderService.loadOtherCellLevelCharacteristics(ExpressionExperiment ee, SingleCellDataLoaderConfig config) Load other cell-level characteristics (i.e.SingleCellDataLoaderService.loadOtherCellLevelCharacteristics(ExpressionExperiment ee, SingleCellDataType dataType, SingleCellDataLoaderConfig config) Load other cell-level characteristics (i.e.SingleCellDataLoaderServiceImpl.loadOtherCellLevelCharacteristics(ExpressionExperiment ee, SingleCellDataLoaderConfig config) SingleCellDataLoaderServiceImpl.loadOtherCellLevelCharacteristics(ExpressionExperiment ee, SingleCellDataType dataType, SingleCellDataLoaderConfig config) -
Uses of CellLevelCharacteristics in ubic.gemma.core.loader.expression.singleCell.metadata
Methods in ubic.gemma.core.loader.expression.singleCell.metadata that return types with arguments of type CellLevelCharacteristicsModifier and TypeMethodDescriptionGenericMetadataSingleCellDataLoader.getOtherCellLevelCharacteristics(SingleCellDimension dimension) Methods in ubic.gemma.core.loader.expression.singleCell.metadata with parameters of type CellLevelCharacteristicsModifier and TypeMethodDescriptionvoidCellLevelCharacteristicsWriter.write(CellLevelCharacteristics cellLevelCharacteristics, SingleCellDimension dimension, Writer writer) Write a single set of cell-level characteristics to a writer.Method parameters in ubic.gemma.core.loader.expression.singleCell.metadata with type arguments of type CellLevelCharacteristicsModifier and TypeMethodDescriptionvoidCellLevelCharacteristicsWriter.write(Collection<CellLevelCharacteristics> cellLevelCharacteristics, SingleCellDimension dimension, Writer writer) Write multiple sets of cell-level characteristics to a writer. -
Uses of CellLevelCharacteristics in ubic.gemma.core.visualization
Methods in ubic.gemma.core.visualization that return CellLevelCharacteristicsMethods in ubic.gemma.core.visualization with parameters of type CellLevelCharacteristicsModifier and TypeMethodDescriptionvoidExpressionDataHeatmap.setCellLevelCharacteristics(CellLevelCharacteristics cellLevelCharacteristics) voidSingleCellDataBoxplot.setCellLevelCharacteristics(CellLevelCharacteristics cellLevelCharacteristics) -
Uses of CellLevelCharacteristics in ubic.gemma.model.expression.bioAssayData
Classes in ubic.gemma.model.expression.bioAssayData that implement CellLevelCharacteristicsModifier and TypeClassDescriptionclassRepresents a cell type assignment where cells from a given dataset are assigned cell types.classGeneric cell-level characteristics.Fields in ubic.gemma.model.expression.bioAssayData with type parameters of type CellLevelCharacteristicsModifier and TypeFieldDescriptionstatic final Comparator<CellLevelCharacteristics> CellLevelCharacteristics.COMPARATORMethods in ubic.gemma.model.expression.bioAssayData that return CellLevelCharacteristicsModifier and TypeMethodDescriptionstatic CellLevelCharacteristicsCellLevelCharacteristics.Factory.newInstance(String name, String description, List<Characteristic> characteristics, int[] indices) Methods in ubic.gemma.model.expression.bioAssayData that return types with arguments of type CellLevelCharacteristicsModifier and TypeMethodDescriptionSingleCellDimension.getCellLevelCharacteristics()Set of cell-level characteristics.Methods in ubic.gemma.model.expression.bioAssayData with parameters of type CellLevelCharacteristicsModifier and TypeMethodDescriptionstatic double[]SingleCellExpressionDataVectorUtils.getSampleDataAsDoubles(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) static double[]SingleCellExpressionDataVectorUtils.getSampleDataAsDoubles(SingleCellExpressionDataVector vector, DoubleBuffer data, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) Obtain the data of a sample.static float[]SingleCellExpressionDataVectorUtils.getSampleDataAsFloats(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) static float[]SingleCellExpressionDataVectorUtils.getSampleDataAsFloats(SingleCellExpressionDataVector vector, FloatBuffer data, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) Obtain the data of a sample.static int[]SingleCellExpressionDataVectorUtils.getSampleDataAsInts(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) static int[]SingleCellExpressionDataVectorUtils.getSampleDataAsInts(SingleCellExpressionDataVector vector, IntBuffer data, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) static long[]SingleCellExpressionDataVectorUtils.getSampleDataAsLongs(SingleCellExpressionDataVector vector, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) static long[]SingleCellExpressionDataVectorUtils.getSampleDataAsLongs(SingleCellExpressionDataVector vector, LongBuffer data, int sampleIndex, CellLevelCharacteristics cellLevelCharacteristics, int row) Method parameters in ubic.gemma.model.expression.bioAssayData with type arguments of type CellLevelCharacteristicsModifier and TypeMethodDescriptionvoidSingleCellDimension.setCellLevelCharacteristics(Set<CellLevelCharacteristics> cellLevelCharacteristics) Set of cell-level characteristics.Constructors in ubic.gemma.model.expression.bioAssayData with parameters of type CellLevelCharacteristicsModifierConstructorDescriptionCellLevelCharacteristicsValueObject(CellLevelCharacteristics cellLevelCharacteristics, boolean excludeCharacteristicIds) -
Uses of CellLevelCharacteristics in ubic.gemma.persistence.service.expression.experiment
Methods in ubic.gemma.persistence.service.expression.experiment that return CellLevelCharacteristicsModifier and TypeMethodDescriptionSingleCellExpressionExperimentService.addCellLevelCharacteristics(ExpressionExperiment ee, SingleCellDimension scd, CellLevelCharacteristics clc) Add new cell-level characteristics.SingleCellExpressionExperimentServiceImpl.addCellLevelCharacteristics(ExpressionExperiment ee, SingleCellDimension scd, CellLevelCharacteristics clc) ExpressionExperimentDao.getCellLevelCharacteristics(ExpressionExperiment ee, QuantitationType qt, Long clcId) Obtain a specific cell-level characteristic by ID.ExpressionExperimentDao.getCellLevelCharacteristics(ExpressionExperiment ee, QuantitationType qt, String clcName) ExpressionExperimentDaoImpl.getCellLevelCharacteristics(ExpressionExperiment ee, QuantitationType qt, Long clcId) ExpressionExperimentDaoImpl.getCellLevelCharacteristics(ExpressionExperiment ee, QuantitationType qt, String clcName) SingleCellExpressionExperimentService.getCellLevelCharacteristics(ExpressionExperiment expressionExperiment, QuantitationType qt, Long id) SingleCellExpressionExperimentService.getCellLevelCharacteristics(ExpressionExperiment ee, QuantitationType qt, String name) Obtain a CLC by name.SingleCellExpressionExperimentServiceImpl.getCellLevelCharacteristics(ExpressionExperiment expressionExperiment, QuantitationType qt, Long id) SingleCellExpressionExperimentServiceImpl.getCellLevelCharacteristics(ExpressionExperiment ee, QuantitationType qt, String name) ExpressionExperimentDao.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt, Long clcId) ExpressionExperimentDao.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt, String clcName) ExpressionExperimentDaoImpl.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt, Long clcId) ExpressionExperimentDaoImpl.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt, String clcName) SingleCellExpressionExperimentService.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt, Long ctaId) SingleCellExpressionExperimentService.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt, String clcName) SingleCellExpressionExperimentServiceImpl.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt, Long clcId) SingleCellExpressionExperimentServiceImpl.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt, String clcName) Methods in ubic.gemma.persistence.service.expression.experiment that return types with arguments of type CellLevelCharacteristicsModifier and TypeMethodDescriptionExpressionExperimentDao.getCellLevelCharacteristics(ExpressionExperiment ee) Obtain all cell-level characteristics from all single-cell dimensions.ExpressionExperimentDao.getCellLevelCharacteristics(ExpressionExperiment ee, Category category) Obtain all cell-level characteristics from all single-cell dimensions matching the given category.ExpressionExperimentDao.getCellLevelCharacteristics(ExpressionExperiment expressionExperiment, QuantitationType qt) ExpressionExperimentDao.getCellLevelCharacteristics(ExpressionExperiment expressionExperiment, QuantitationType qt, Category category) ExpressionExperimentDaoImpl.getCellLevelCharacteristics(ExpressionExperiment ee) ExpressionExperimentDaoImpl.getCellLevelCharacteristics(ExpressionExperiment ee, Category category) ExpressionExperimentDaoImpl.getCellLevelCharacteristics(ExpressionExperiment expressionExperiment, QuantitationType qt) ExpressionExperimentDaoImpl.getCellLevelCharacteristics(ExpressionExperiment expressionExperiment, QuantitationType qt, Category category) SingleCellExpressionExperimentService.getCellLevelCharacteristics(ExpressionExperiment ee) SingleCellExpressionExperimentService.getCellLevelCharacteristics(ExpressionExperiment ee, Category category) Obtain CLC for given category.SingleCellExpressionExperimentService.getCellLevelCharacteristics(ExpressionExperiment expressionExperiment, QuantitationType qt) SingleCellExpressionExperimentServiceImpl.getCellLevelCharacteristics(ExpressionExperiment ee) SingleCellExpressionExperimentServiceImpl.getCellLevelCharacteristics(ExpressionExperiment ee, Category category) SingleCellExpressionExperimentServiceImpl.getCellLevelCharacteristics(ExpressionExperiment expressionExperiment, QuantitationType qt) ExpressionExperimentDao.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt) ExpressionExperimentDaoImpl.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt) SingleCellExpressionExperimentService.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt) SingleCellExpressionExperimentServiceImpl.getCellLevelCharacteristicsWithoutIndices(ExpressionExperiment ee, QuantitationType qt) SingleCellExpressionExperimentService.getCellLevelMask(ExpressionExperiment expressionExperiment, QuantitationType qt) Obtain a mask if one is unambiguously defined for the given experiment and quantitation type.SingleCellExpressionExperimentServiceImpl.getCellLevelMask(ExpressionExperiment expressionExperiment, QuantitationType qt) Methods in ubic.gemma.persistence.service.expression.experiment with parameters of type CellLevelCharacteristicsModifier and TypeMethodDescriptionSingleCellExpressionExperimentService.addCellLevelCharacteristics(ExpressionExperiment ee, SingleCellDimension scd, CellLevelCharacteristics clc) Add new cell-level characteristics.SingleCellExpressionExperimentServiceImpl.addCellLevelCharacteristics(ExpressionExperiment ee, SingleCellDimension scd, CellLevelCharacteristics clc) ExpressionExperimentDao.getCellLevelCharacteristicAt(CellLevelCharacteristics clc, int cellIndex) Obtain the characteristic at a given cell index.ExpressionExperimentDao.getCellLevelCharacteristicAt(CellLevelCharacteristics clc, int startIndex, int endIndexExclusive) ExpressionExperimentDaoImpl.getCellLevelCharacteristicAt(CellLevelCharacteristics clc, int cellIndex) ExpressionExperimentDaoImpl.getCellLevelCharacteristicAt(CellLevelCharacteristics clc, int startIndex, int endIndexExclusive) ExpressionExperimentDao.getCellLevelCharacteristicsCategory(CellLevelCharacteristics clc) Obtain the category of a cell-level characteristic.ExpressionExperimentDaoImpl.getCellLevelCharacteristicsCategory(CellLevelCharacteristics clc) SingleCellExpressionExperimentService.getCellLevelCharacteristicsCategory(ExpressionExperiment ee, CellLevelCharacteristics clc) SingleCellExpressionExperimentServiceImpl.getCellLevelCharacteristicsCategory(ExpressionExperiment ee, CellLevelCharacteristics clc) voidSingleCellExpressionExperimentService.removeCellLevelCharacteristics(ExpressionExperiment ee, QuantitationType qt, CellLevelCharacteristics clc) Remove existing cell-level characteristics by QT.voidSingleCellExpressionExperimentService.removeCellLevelCharacteristics(ExpressionExperiment ee, SingleCellDimension scd, CellLevelCharacteristics clc) Remove existing cell-level characteristics.voidSingleCellExpressionExperimentServiceImpl.removeCellLevelCharacteristics(ExpressionExperiment ee, QuantitationType qt, CellLevelCharacteristics clc) voidSingleCellExpressionExperimentServiceImpl.removeCellLevelCharacteristics(ExpressionExperiment ee, SingleCellDimension scd, CellLevelCharacteristics clc) ExpressionExperimentDao.streamCellLevelCharacteristics(CellLevelCharacteristics clc, boolean createNewSession) ExpressionExperimentDaoImpl.streamCellLevelCharacteristics(CellLevelCharacteristics clc, boolean createNewSession) SingleCellExpressionExperimentService.streamCellLevelCharacteristics(ExpressionExperiment ee, CellLevelCharacteristics clc, boolean createNewSession) SingleCellExpressionExperimentServiceImpl.streamCellLevelCharacteristics(ExpressionExperiment ee, CellLevelCharacteristics clc, boolean createNewSession) -
Uses of CellLevelCharacteristics in ubic.gemma.persistence.util
Methods in ubic.gemma.persistence.util with parameters of type CellLevelCharacteristicsModifier and TypeMethodDescriptionEntityUrlBuilder.ExpressionExperimentWebUrl.showSingleCellExpressionData(QuantitationType quantitationType, CompositeSequence designElement, List<BioAssay> assays, CellLevelCharacteristics cellLevelCharacteristics, Characteristic focusedCharacteristic) -
Uses of CellLevelCharacteristics in ubic.gemma.web.controller.expression.experiment
Methods in ubic.gemma.web.controller.expression.experiment that return CellLevelCharacteristicsMethods in ubic.gemma.web.controller.expression.experiment that return types with arguments of type CellLevelCharacteristicsConstructors in ubic.gemma.web.controller.expression.experiment with parameters of type CellLevelCharacteristicsModifierConstructorDescriptionSingleCellExpressionDataModel(ExpressionExperiment expressionExperiment, Collection<CellTypeAssignment> cellTypeAssignments, Collection<CellLevelCharacteristics> cellLevelCharacteristics, QuantitationType quantitationType, CompositeSequence designElement, Gene gene, Long[] assayIds, CellTypeAssignment cellTypeAssignment, CellLevelCharacteristics cellLevelCharacteristics1, Characteristic focusedCharacteristic, String keywords, String font)