Uses of Class
ubic.gemma.model.expression.experiment.ExperimentalFactor
Packages that use ExperimentalFactor
Package
Description
This package contains classes for preprocessing expression data.
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 classes for loading single-cell expression data.
This package contains classes related to the Cell Browser visualization tool.
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Uses of ExperimentalFactor in ubic.gemma.cli.util
Methods in ubic.gemma.cli.util that return ExperimentalFactorModifier and TypeMethodDescriptionEntityLocator.locateExperimentalFactor(ExpressionExperiment expressionExperiment, String ctfName) EntityLocatorImpl.locateExperimentalFactor(ExpressionExperiment expressionExperiment, String identifier) -
Uses of ExperimentalFactor in ubic.gemma.core.analysis.expression.diff
Methods in ubic.gemma.core.analysis.expression.diff that return ExperimentalFactorModifier and TypeMethodDescriptionDifferentialExpressionAnalysisConfig.getSubsetFactor()Factor to subset the analysis on, if non-null.Methods in ubic.gemma.core.analysis.expression.diff that return types with arguments of type ExperimentalFactorModifier and TypeMethodDescriptionDiffExAnalyzerUtils.buildDesignMatrix(List<ExperimentalFactor> factors, List<BioMaterial> samplesUsed, boolean allowMissingValues) Build a design matrix for the given factors and samples.static Map<ExperimentalFactor, FactorValue> BaselineSelection.getBaselineConditions(List<BioMaterial> samplesUsed, List<ExperimentalFactor> factors) DifferentialExpressionAnalysisConfig.getBaselineFactorValues()For each categorical factor, indicate the baseline factor value to use.static Map<ExperimentalFactor, FactorValue> BaselineSelection.getBaselineLevels(Collection<ExperimentalFactor> factors) Identify the FactorValue that should be treated as 'Baseline' for each of the given factors.static Map<ExperimentalFactor, FactorValue> BaselineSelection.getBaselineLevels(Collection<ExperimentalFactor> factors, List<BioMaterial> samplesUsed) Identify the FactorValue that should be treated as 'Baseline' for each of the given factors.DifferentialExpressionAnalysisConfig.getFactorsToInclude()DifferentialExpressionAnalysisConfig.getInteractionsToInclude()Methods in ubic.gemma.core.analysis.expression.diff with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionstatic booleanDifferentialExpressionAnalysisUtil.checkValidForLm(BioAssaySet expressionExperiment, ExperimentalFactor experimentalFactor) Check that the factorValues are measurements, or that there are at least two assays for at least one factor value.GeneDifferentialExpressionService.configExperimentalFactorValueObject(ExperimentalFactor ef) GeneDifferentialExpressionServiceImpl.configExperimentalFactorValueObject(ExperimentalFactor ef) static AnalysisTypeDiffExAnalyzerUtils.determineAnalysisType(BioAssaySet bioAssaySet, Collection<ExperimentalFactor> experimentalFactors, ExperimentalFactor subsetFactor, boolean includeInteractionsIfPossible) Determines the analysis to execute based on the experimental factors, factor values, and block design.static StringDiffExAnalyzerUtils.nameForR(ExperimentalFactor experimentalFactor) Create a name for the factor that is suitable for R.static voidDiffExAnalyzerUtils.populateFactorValuesFromBASet(BioAssaySet ee, ExperimentalFactor f, Collection<FactorValue> fvs) voidDifferentialExpressionAnalysisConfig.setSubsetFactor(ExperimentalFactor subsetFactor) Factor to subset the analysis on, if non-null.Method parameters in ubic.gemma.core.analysis.expression.diff with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionvoidDifferentialExpressionAnalysisConfig.addBaseLineFactorValues(Map<ExperimentalFactor, FactorValue> baselineConditions) voidDifferentialExpressionAnalysisConfig.addFactorsToInclude(Collection<ExperimentalFactor> factors) Add a collection of factors to include in the analysis.voidDifferentialExpressionAnalysisConfig.addInteractionsToInclude(Collection<Collection<ExperimentalFactor>> interactions) voidDifferentialExpressionAnalysisConfig.addInteractionToInclude(Collection<ExperimentalFactor> factors) Add an interaction of two factors to include in the analysis.static booleanDifferentialExpressionAnalysisUtil.blockComplete(BioAssaySet expressionExperiment, Collection<ExperimentalFactor> factors) Returns true if the block design is complete and there are at least 2 biological replicates for each "group", false otherwise.DiffExAnalyzerUtils.buildDesignMatrix(List<ExperimentalFactor> factors, List<BioMaterial> samplesUsed, boolean allowMissingValues) Build a design matrix for the given factors and samples.static ObjectMatrix<String, String, Object> DiffExAnalyzerUtils.buildRDesignMatrix(List<ExperimentalFactor> factors, List<BioMaterial> samplesUsed, boolean allowMissingValues) Build an R-friendly design matrix.static ObjectMatrix<String, String, Object> DiffExAnalyzerUtils.buildRDesignMatrix(List<ExperimentalFactor> factors, List<BioMaterial> samplesUsed, Map<ExperimentalFactor, FactorValue> baselines, boolean allowMissingValues) A variant ofDiffExAnalyzerUtils.buildRDesignMatrix(List, List, boolean)that allows for reusing baselines for repeated calls.static ObjectMatrix<String, String, Object> DiffExAnalyzerUtils.buildRDesignMatrix(List<ExperimentalFactor> factors, List<BioMaterial> samplesUsed, Map<ExperimentalFactor, FactorValue> baselines, boolean allowMissingValues) A variant ofDiffExAnalyzerUtils.buildRDesignMatrix(List, List, boolean)that allows for reusing baselines for repeated calls.static AnalysisTypeDiffExAnalyzerUtils.determineAnalysisType(BioAssaySet bioAssaySet, Collection<ExperimentalFactor> experimentalFactors, ExperimentalFactor subsetFactor, boolean includeInteractionsIfPossible) Determines the analysis to execute based on the experimental factors, factor values, and block design.static StringDiffExAnalyzerUtils.formatInteraction(Set<ExperimentalFactor> i) Format an interaction of factors.static Map<ExperimentalFactor, FactorValue> BaselineSelection.getBaselineLevels(Collection<ExperimentalFactor> factors) Identify the FactorValue that should be treated as 'Baseline' for each of the given factors.static Map<ExperimentalFactor, FactorValue> BaselineSelection.getBaselineLevels(Collection<ExperimentalFactor> factors, List<BioMaterial> samplesUsed) Identify the FactorValue that should be treated as 'Baseline' for each of the given factors. -
Uses of ExperimentalFactor in ubic.gemma.core.analysis.preprocess
Methods in ubic.gemma.core.analysis.preprocess with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionSplitExperimentService.split(ExpressionExperiment expressionExperiment, ExperimentalFactor splitOn, boolean postProcess) Split an experiment into multiple experiments based on a factor.SplitExperimentServiceImpl.split(ExpressionExperiment toSplit, ExperimentalFactor splitOn, boolean postProcess) -
Uses of ExperimentalFactor in ubic.gemma.core.analysis.preprocess.batcheffects
Methods in ubic.gemma.core.analysis.preprocess.batcheffects that return ExperimentalFactorModifier and TypeMethodDescriptionBatchInfoPopulationHelperService.createBatchFactor(ExpressionExperiment ee, Map<BioMaterial, Date> dates) BatchInfoPopulationHelperServiceImpl.createBatchFactor(ExpressionExperiment ee, Map<BioMaterial, Date> dates) BatchInfoPopulationHelperService.createRnaSeqBatchFactor(ExpressionExperiment ee, Map<BioMaterial, String> headers) For RNA-seq, we based the batching on the available device/run/flowcell/lane informationBatchInfoPopulationHelperServiceImpl.createRnaSeqBatchFactor(ExpressionExperiment ee, Map<BioMaterial, String> headers) ExpressionExperimentBatchCorrectionService.getBatchFactor(ExpressionExperiment ee) For convenience of some testing classesExpressionExperimentBatchCorrectionServiceImpl.getBatchFactor(ExpressionExperiment ee) BatchConfound.getFactor()Factor being confounded with the batches.Constructors in ubic.gemma.core.analysis.preprocess.batcheffects with parameters of type ExperimentalFactorModifierConstructorDescriptionBatchConfound(BioAssaySet bioAssaySet, ExperimentalFactor factor, double chiSquare, int df, double pValue, int numBatches) Creates a newBatchConfoundinstance. -
Uses of ExperimentalFactor in ubic.gemma.core.analysis.preprocess.svd
Methods in ubic.gemma.core.analysis.preprocess.svd that return types with arguments of type ExperimentalFactorModifier and TypeMethodDescriptionSVDResult.getFactorCorrelations()Map of component to a map of ExperimentalFactor IDs to correlations of that factor with the component.SVDResult.getFactorPVals()Map of component to map of ExperimentalFactor IDs to P-values for the association of that factor with the component.SVDResult.getFactors()Map of factors to the double-ized representations of them.SVDService.getImportantFactors(ExpressionExperiment ee, Collection<ExperimentalFactor> experimentalFactors, Double importanceThreshold) SVDServiceImpl.getImportantFactors(ExpressionExperiment ee, Collection<ExperimentalFactor> experimentalFactors, Double importanceThreshold) Method parameters in ubic.gemma.core.analysis.preprocess.svd with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionSVDService.getImportantFactors(ExpressionExperiment ee, Collection<ExperimentalFactor> experimentalFactors, Double importanceThreshold) SVDServiceImpl.getImportantFactors(ExpressionExperiment ee, Collection<ExperimentalFactor> experimentalFactors, Double importanceThreshold) static voidSVDServiceImpl.populateBMFMap(Map<ExperimentalFactor, Map<BioMaterial, Number>> bioMaterialFactorMap, BioMaterial bm) Retrieve relationships between factors, biomaterials and factor values. -
Uses of ExperimentalFactor in ubic.gemma.core.analysis.singleCell
Methods in ubic.gemma.core.analysis.singleCell with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionstatic 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.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 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 ExperimentalFactor in ubic.gemma.core.analysis.singleCell.aggregate
Methods in ubic.gemma.core.analysis.singleCell.aggregate with parameters of type ExperimentalFactorModifier 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) 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) 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 ExperimentalFactor in ubic.gemma.core.datastructure.matrix
Methods in ubic.gemma.core.datastructure.matrix with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionstatic List<BioMaterial> ExpressionDataMatrixColumnSort.orderByExperimentalDesign(List<BioMaterial> start, Collection<ExperimentalFactor> factors, ExperimentalFactor primaryFactor) static <R> DoubleMatrix<R, BioAssay> ExpressionDataMatrixColumnSort.orderByExperimentalDesign(DoubleMatrix<R, BioAssay> mat, Collection<ExperimentalFactor> factors, ExperimentalFactor primaryFactor) static List<BioMaterial> ExpressionDataMatrixColumnSort.orderByExperimentalDesign(BulkExpressionDataMatrix<?> dmatrix, Collection<ExperimentalFactor> factors, ExperimentalFactor primaryFactor) Method parameters in ubic.gemma.core.datastructure.matrix with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionstatic List<BioMaterial> ExpressionDataMatrixColumnSort.orderByExperimentalDesign(List<BioMaterial> start, Collection<ExperimentalFactor> factors, ExperimentalFactor primaryFactor) static <R> DoubleMatrix<R, BioAssay> ExpressionDataMatrixColumnSort.orderByExperimentalDesign(DoubleMatrix<R, BioAssay> mat, Collection<ExperimentalFactor> factors, ExperimentalFactor primaryFactor) static List<BioMaterial> ExpressionDataMatrixColumnSort.orderByExperimentalDesign(BulkExpressionDataMatrix<?> dmatrix, Collection<ExperimentalFactor> factors, ExperimentalFactor primaryFactor) -
Uses of ExperimentalFactor in ubic.gemma.core.datastructure.matrix.io
Methods in ubic.gemma.core.datastructure.matrix.io with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionstatic StringExpressionDataWriterUtils.constructExperimentalFactorName(ExperimentalFactor ef) Construct an ExperimentalFactor column name.Method parameters in ubic.gemma.core.datastructure.matrix.io with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionstatic String[]ExpressionDataWriterUtils.constructExperimentalFactorNames(List<ExperimentalFactor> factors) Construct an ExperimentalFactor column names for a list of factors. -
Uses of ExperimentalFactor in ubic.gemma.core.loader.expression
Methods in ubic.gemma.core.loader.expression that return types with arguments of type ExperimentalFactorModifier and TypeMethodDescriptionAbstractDelegatingDataLoader.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. -
Uses of ExperimentalFactor in ubic.gemma.core.loader.expression.singleCell
Methods in ubic.gemma.core.loader.expression.singleCell that return types with arguments of type ExperimentalFactorModifier 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) -
Uses of ExperimentalFactor in ubic.gemma.core.tasks.analysis.diffex
Methods in ubic.gemma.core.tasks.analysis.diffex that return ExperimentalFactorMethods in ubic.gemma.core.tasks.analysis.diffex that return types with arguments of type ExperimentalFactorMethods in ubic.gemma.core.tasks.analysis.diffex with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionvoidDifferentialExpressionAnalysisTaskCommand.setSubsetFactor(ExperimentalFactor subsetFactor) Method parameters in ubic.gemma.core.tasks.analysis.diffex with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionvoidDifferentialExpressionAnalysisTaskCommand.setFactors(Collection<ExperimentalFactor> factors) -
Uses of ExperimentalFactor in ubic.gemma.core.visualization
Methods in ubic.gemma.core.visualization that return types with arguments of type ExperimentalFactorModifier and TypeMethodDescriptionExperimentalDesignVisualizationService.sortVectorDataByDesign(Collection<DoubleVectorValueObject> dedVs, ExperimentalFactor primaryFactor) Put data vectors in the order you'd want to display the experimental design.ExperimentalDesignVisualizationServiceImpl.sortVectorDataByDesign(Collection<DoubleVectorValueObject> dedVs, ExperimentalFactor primaryFactor) Methods in ubic.gemma.core.visualization with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionExperimentalDesignVisualizationService.sortVectorDataByDesign(Collection<DoubleVectorValueObject> dedVs, ExperimentalFactor primaryFactor) Put data vectors in the order you'd want to display the experimental design.ExperimentalDesignVisualizationServiceImpl.sortVectorDataByDesign(Collection<DoubleVectorValueObject> dedVs, ExperimentalFactor primaryFactor) -
Uses of ExperimentalFactor in ubic.gemma.core.visualization.cellbrowser
Method parameters in ubic.gemma.core.visualization.cellbrowser with type arguments of type ExperimentalFactorModifier 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) 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) -
Uses of ExperimentalFactor in ubic.gemma.model.analysis.expression
Methods in ubic.gemma.model.analysis.expression that return types with arguments of type ExperimentalFactorMethod parameters in ubic.gemma.model.analysis.expression with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionvoidFactorAssociatedAnalysisResultSet.setExperimentalFactors(Set<ExperimentalFactor> experimentalFactors) -
Uses of ExperimentalFactor in ubic.gemma.model.analysis.expression.diff
Methods in ubic.gemma.model.analysis.expression.diff that return ExperimentalFactorMethods in ubic.gemma.model.analysis.expression.diff with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionstatic ContrastContrast.continuous(ExperimentalFactor ef) Create a contrast for a continuous factor.Method parameters in ubic.gemma.model.analysis.expression.diff with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionstatic ExpressionAnalysisResultSetExpressionAnalysisResultSet.Factory.newInstance(Set<ExperimentalFactor> experimentalFactors, Integer numberOfProbesTested, Integer numberOfGenesTested, FactorValue baselineGroup, Set<DifferentialExpressionAnalysisResult> results, DifferentialExpressionAnalysis analysis, PvalueDistribution pvalueDistribution, Set<HitListSize> hitListSizes) -
Uses of ExperimentalFactor in ubic.gemma.model.expression.experiment
Fields in ubic.gemma.model.expression.experiment with type parameters of type ExperimentalFactorModifier and TypeFieldDescriptionstatic Comparator<ExperimentalFactor> ExperimentalFactor.COMPARATORMethods in ubic.gemma.model.expression.experiment that return ExperimentalFactorModifier and TypeMethodDescriptionFactorValue.getExperimentalFactor()static ExperimentalFactorExperimentalFactor.Factory.newInstance()static ExperimentalFactorExperimentalFactor.Factory.newInstance(String name, FactorType factorType) static ExperimentalFactorExperimentalFactor.Factory.newInstance(String name, FactorType factorType, Category category) static ExperimentalFactorExperimentalFactor.Factory.newInstance(ExperimentalDesign ed, String name, FactorType factorType) Methods in ubic.gemma.model.expression.experiment that return types with arguments of type ExperimentalFactorModifier and TypeMethodDescriptionExperimentalDesign.getExperimentalFactors()static Map<ExperimentalFactor, Map<BioMaterial, FactorValue>> ExperimentalDesignUtils.getFactorValueMap(Collection<ExperimentalFactor> factors, Collection<BioMaterial> samples) static Map<ExperimentalFactor, Map<BioMaterial, FactorValue>> ExperimentalDesignUtils.getFactorValueMap(ExperimentalDesign experimentalDesign, Collection<BioMaterial> samples) Create a mapping of samples to factor values for all factors in the experimental design.Methods in ubic.gemma.model.expression.experiment with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionstatic booleanExperimentFactorUtils.isBatchFactor(ExperimentalFactor ef) Check if a factor is a batch factor.static FactorValueFactorValue.Factory.newInstance(ExperimentalFactor experimentalFactor) static FactorValueFactorValue.Factory.newInstance(ExperimentalFactor factor, Characteristic c) Create a FactorValue with a single characteristic.static FactorValueFactorValue.Factory.newInstance(ExperimentalFactor factor, Measurement measurement) Create a FactorValue with a measurement.static FactorValueFactorValue.Factory.newInstance(ExperimentalFactor factor, Statement c) Create a FactorValue with a single statement.voidFactorValue.setExperimentalFactor(ExperimentalFactor experimentalFactor) Method parameters in ubic.gemma.model.expression.experiment with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionstatic Map<ExperimentalFactor, Map<BioMaterial, FactorValue>> ExperimentalDesignUtils.getFactorValueMap(Collection<ExperimentalFactor> factors, Collection<BioMaterial> samples) voidExperimentalDesign.setExperimentalFactors(Set<ExperimentalFactor> experimentalFactors) Constructors in ubic.gemma.model.expression.experiment with parameters of type ExperimentalFactorModifierConstructorDescriptionExperimentalFactorValueObject(ExperimentalFactor factor, boolean includeValues) -
Uses of ExperimentalFactor in ubic.gemma.persistence.service.analysis.expression.diff
Methods in ubic.gemma.persistence.service.analysis.expression.diff with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionDifferentialExpressionAnalysisDao.findByFactor(ExperimentalFactor ef) Retrieve analyses associated with the factor, either through the subset factor or as factors for result sets.DifferentialExpressionAnalysisService.findByFactor(ExperimentalFactor ef) DifferentialExpressionAnalysisServiceImpl.findByFactor(ExperimentalFactor ef) intDifferentialExpressionAnalysisService.removeForExperimentalFactor(ExperimentalFactor experimentalFactor) Remove analyses using the given factor.intDifferentialExpressionAnalysisServiceImpl.removeForExperimentalFactor(ExperimentalFactor experimentalFactor) Method parameters in ubic.gemma.persistence.service.analysis.expression.diff with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionDifferentialExpressionAnalysisDao.findByFactors(Collection<ExperimentalFactor> experimentalFactors) intDifferentialExpressionAnalysisService.removeForExperimentalFactors(Collection<ExperimentalFactor> experimentalFactors) intDifferentialExpressionAnalysisServiceImpl.removeForExperimentalFactors(Collection<ExperimentalFactor> experimentalFactors) -
Uses of ExperimentalFactor in ubic.gemma.persistence.service.expression.biomaterial
Methods in ubic.gemma.persistence.service.expression.biomaterial with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionBioMaterialDao.findByFactor(ExperimentalFactor experimentalFactor) BioMaterialDaoImpl.findByFactor(ExperimentalFactor experimentalFactor) BioMaterialService.findByFactor(ExperimentalFactor experimentalFactor) BioMaterialServiceImpl.findByFactor(ExperimentalFactor experimentalFactor) -
Uses of ExperimentalFactor in ubic.gemma.persistence.service.expression.experiment
Methods in ubic.gemma.persistence.service.expression.experiment that return ExperimentalFactorModifier and TypeMethodDescriptionExpressionExperimentService.addFactor(ExpressionExperiment ee, ExperimentalFactor factor) ExpressionExperimentServiceImpl.addFactor(ExpressionExperiment ee, ExperimentalFactor factor) ExperimentalFactorDao.find(ExperimentalFactor experimentalFactor) ExperimentalFactorDaoImpl.find(ExperimentalFactor experimentalFactor) ExperimentalFactorService.find(ExperimentalFactor experimentalFactor) ExperimentalFactorDao.findOrCreate(ExperimentalFactor experimentalFactor) ExperimentalFactorService.findOrCreate(ExperimentalFactor experimentalFactor) SingleCellExpressionExperimentService.recreateCellTypeFactor(ExpressionExperiment ee) Recreate the cell type factor based on the preferred labelling of the preferred single-cell vectors.SingleCellExpressionExperimentServiceImpl.recreateCellTypeFactor(ExpressionExperiment ee) ExperimentalFactorDao.thaw(ExperimentalFactor ef) ExperimentalFactorDaoImpl.thaw(ExperimentalFactor ef) ExperimentalFactorService.thaw(ExperimentalFactor ef) ExperimentalFactorServiceImpl.thaw(ExperimentalFactor ef) Methods in ubic.gemma.persistence.service.expression.experiment that return types with arguments of type ExperimentalFactorModifier and TypeMethodDescriptionSingleCellExpressionExperimentService.getCellTypeFactor(ExpressionExperiment ee) Obtain the cell type factor.SingleCellExpressionExperimentServiceImpl.getCellTypeFactor(ExpressionExperiment ee) ExpressionExperimentService.getSubSetsByFactorValue(ExpressionExperiment expressionExperiment, BioAssayDimension dimension) Reconstitute the FV to subset mapping for a given experiment.ExpressionExperimentServiceImpl.getSubSetsByFactorValue(ExpressionExperiment expressionExperiment, BioAssayDimension dimension) ExperimentalFactorService.load(Collection<Long> ids) ExperimentalFactorService.loadAll()Methods in ubic.gemma.persistence.service.expression.experiment with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionExpressionExperimentService.addFactor(ExpressionExperiment ee, ExperimentalFactor factor) ExpressionExperimentServiceImpl.addFactor(ExpressionExperiment ee, ExperimentalFactor factor) protected ExperimentalFactorValueObjectExperimentalFactorDaoImpl.doLoadValueObject(ExperimentalFactor e) ExperimentalFactorDao.find(ExperimentalFactor experimentalFactor) ExperimentalFactorDaoImpl.find(ExperimentalFactor experimentalFactor) ExperimentalFactorService.find(ExperimentalFactor experimentalFactor) ExpressionExperimentDao.findByFactor(ExperimentalFactor ef) ExpressionExperimentDaoImpl.findByFactor(ExperimentalFactor ef) ExpressionExperimentService.findByFactor(ExperimentalFactor factor) ExpressionExperimentServiceImpl.findByFactor(ExperimentalFactor factor) ExperimentalFactorDao.findOrCreate(ExperimentalFactor experimentalFactor) ExperimentalFactorService.findOrCreate(ExperimentalFactor experimentalFactor) ExpressionExperimentSubSetDao.getFactorValuesUsed(ExpressionExperimentSubSet entity, ExperimentalFactor factor) Obtain theFactorValueused by the samples from this subset in the given factor.ExpressionExperimentSubSetDaoImpl.getFactorValuesUsed(ExpressionExperimentSubSet entity, ExperimentalFactor factor) ExpressionExperimentSubSetService.getFactorValuesUsed(ExpressionExperimentSubSet entity, ExperimentalFactor factor) ExpressionExperimentSubSetServiceImpl.getFactorValuesUsed(ExpressionExperimentSubSet entity, ExperimentalFactor factor) ExpressionExperimentService.getSubSetsByFactorValue(ExpressionExperiment expressionExperiment, ExperimentalFactor experimentalFactor, BioAssayDimension dimension) Reconstitute the FV to subset mapping for a given experiment and factor.ExpressionExperimentServiceImpl.getSubSetsByFactorValue(ExpressionExperiment expressionExperiment, ExperimentalFactor experimentalFactor, BioAssayDimension dimension) ExpressionExperimentService.getSubSetsByFactorValueWithCharacteristicsAndBioAssays(ExpressionExperiment expressionExperiment, ExperimentalFactor experimentalFactor, BioAssayDimension dimension) Reconstitute the FV to subset mapping for a given experiment and factor.ExpressionExperimentServiceImpl.getSubSetsByFactorValueWithCharacteristicsAndBioAssays(ExpressionExperiment expressionExperiment, ExperimentalFactor experimentalFactor, BioAssayDimension dimension) voidExperimentalFactorDaoImpl.remove(ExperimentalFactor experimentalFactor) voidExperimentalFactorService.remove(ExperimentalFactor experimentalFactor) Delete the factor, its associated factor values and all differential expression analyses in which it is used.voidExperimentalFactorServiceImpl.remove(ExperimentalFactor experimentalFactor) ExperimentalFactorDao.thaw(ExperimentalFactor ef) ExperimentalFactorDaoImpl.thaw(ExperimentalFactor ef) ExperimentalFactorService.thaw(ExperimentalFactor ef) ExperimentalFactorServiceImpl.thaw(ExperimentalFactor ef) voidExperimentalFactorService.update(ExperimentalFactor experimentalFactor) Method parameters in ubic.gemma.persistence.service.expression.experiment with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionExpressionExperimentDao.findByFactors(Collection<ExperimentalFactor> factors) ExpressionExperimentDaoImpl.findByFactors(Collection<ExperimentalFactor> factors) ExpressionExperimentService.findByFactors(Collection<ExperimentalFactor> factors) ExpressionExperimentServiceImpl.findByFactors(Collection<ExperimentalFactor> factors) voidExperimentalFactorService.remove(Collection<ExperimentalFactor> entities) voidExperimentalFactorServiceImpl.remove(Collection<ExperimentalFactor> experimentalFactors) voidExperimentalFactorService.update(Collection<ExperimentalFactor> entities) -
Uses of ExperimentalFactor in ubic.gemma.persistence.util
Methods in ubic.gemma.persistence.util that return types with arguments of type ExperimentalFactorMethods in ubic.gemma.persistence.util with parameters of type ExperimentalFactorModifier and TypeMethodDescriptionstatic voidBusinessKey.addRestrictions(Criteria queryObject, ExperimentalFactor experimentalFactor) static voidBusinessKey.checkValidKey(ExperimentalFactor experimentalFactor) FactorValueVector.getValuesForFactor(ExperimentalFactor factor) Constructor parameters in ubic.gemma.persistence.util with type arguments of type ExperimentalFactorModifierConstructorDescriptionFactorValueVector(Collection<ExperimentalFactor> factors, Collection<FactorValue> values) -
Uses of ExperimentalFactor in ubic.gemma.web.controller.expression.experiment
Method parameters in ubic.gemma.web.controller.expression.experiment with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionvoidExperimentalDesignController.createFactorValue(EntityDelegator<ExperimentalFactor> e) AJAXvoidExperimentalDesignController.deleteFactorValues(EntityDelegator<ExperimentalFactor> e, Long[] fvIds) AJAXvoidExperimentalDesignController.duplicateFactorValue(EntityDelegator<ExperimentalFactor> e, Long fvId) Make an exact copy of a factorvalue and add it to the experiment.ExperimentalDesignController.getFactorValues(EntityDelegator<ExperimentalFactor> e) AJAXExpressionExperimentController.getFactorValues(EntityDelegator<ExperimentalFactor> e) AJAXExperimentalDesignController.getFactorValuesWithCharacteristics(EntityDelegator<ExperimentalFactor> e) AJAX -
Uses of ExperimentalFactor in ubic.gemma.web.controller.visualization
Method parameters in ubic.gemma.web.controller.visualization with type arguments of type ExperimentalFactorModifier and TypeMethodDescriptionvoidVisualizationValueObject.setUpFactorProfiles(LinkedHashMap<BioAssayValueObject, LinkedHashMap<ExperimentalFactor, Double>> layout) Initialize the factor profiles.Constructors in ubic.gemma.web.controller.visualization with parameters of type ExperimentalFactorModifierConstructorDescriptionFactorProfile(ExperimentalFactor ef, LinkedHashMap<BioAssayValueObject, LinkedHashMap<ExperimentalFactor, Double>> layouts) Constructor parameters in ubic.gemma.web.controller.visualization with type arguments of type ExperimentalFactorModifierConstructorDescriptionFactorProfile(ExperimentalFactor ef, LinkedHashMap<BioAssayValueObject, LinkedHashMap<ExperimentalFactor, Double>> layouts)