Uses of Class
ubic.gemma.model.expression.experiment.FactorValue
Packages that use FactorValue
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 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 FactorValue in ubic.gemma.core.analysis.expression.diff
Methods in ubic.gemma.core.analysis.expression.diff that return FactorValueModifier and TypeMethodDescriptionDifferentialExpressionAnalysisConfig.getSubsetFactorValue()If this is non-null, this is a subset analysis for this factor value.Methods in ubic.gemma.core.analysis.expression.diff that return types with arguments of type FactorValueModifier and TypeMethodDescriptionstatic 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.Methods in ubic.gemma.core.analysis.expression.diff with parameters of type FactorValueModifier and TypeMethodDescriptionstatic booleanBaselineSelection.isBaselineCondition(FactorValue factorValue) Check if a given factor value indicates a baseline condition.static booleanBaselineSelection.isForcedBaseline(FactorValue fv) Check if this factor value is the baseline, overriding other possible baselines.static StringDiffExAnalyzerUtils.nameForR(FactorValue fv, boolean isBaseline) Create a name for the factor value that is suitable for R.voidDifferentialExpressionAnalysisConfig.setSubsetFactorValue(FactorValue subsetFactorValue) If this is non-null, this is a subset analysis for this factor value.Method parameters in ubic.gemma.core.analysis.expression.diff with type arguments of type FactorValueModifier and TypeMethodDescriptionvoidDifferentialExpressionAnalysisConfig.addBaseLineFactorValues(Map<ExperimentalFactor, FactorValue> baselineConditions) 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 voidDiffExAnalyzerUtils.populateFactorValuesFromBASet(BioAssaySet ee, ExperimentalFactor f, Collection<FactorValue> fvs) DiffExAnalyzer.run(ExpressionExperiment expressionExperiment, Map<FactorValue, ExpressionExperimentSubSet> subsets, ExpressionDataDoubleMatrix dmatrix, DifferentialExpressionAnalysisConfig config) Analyze a dataset with a pre-existing subset structure.LinearModelAnalyzer.run(ExpressionExperiment ee, Map<FactorValue, ExpressionExperimentSubSet> subsets, ExpressionDataDoubleMatrix dmatrix, DifferentialExpressionAnalysisConfig config) -
Uses of FactorValue in ubic.gemma.core.analysis.singleCell
Methods in ubic.gemma.core.analysis.singleCell that return types with arguments of type FactorValueModifier 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.Method parameters in ubic.gemma.core.analysis.singleCell with type arguments of type FactorValueModifier and TypeMethodDescriptionstatic 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 StringCellLevelCharacteristicsMappingUtils.printMapping(Map<Characteristic, FactorValue> mappedCellTypeFactors) static voidCellLevelCharacteristicsMappingUtils.printMapping(Map<Characteristic, FactorValue> mappedCellTypeFactors, Appendable details) 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 FactorValue in ubic.gemma.core.analysis.singleCell.aggregate
Method parameters in ubic.gemma.core.analysis.singleCell.aggregate with type arguments of type FactorValueModifier 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 FactorValue in ubic.gemma.core.loader.expression
Method parameters in ubic.gemma.core.loader.expression with type arguments of type FactorValueModifier 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 FactorValue in ubic.gemma.core.loader.expression.singleCell
Method parameters in ubic.gemma.core.loader.expression.singleCell with type arguments of type FactorValueModifier 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 FactorValue in ubic.gemma.core.ontology
Methods in ubic.gemma.core.ontology with parameters of type FactorValueModifier and TypeMethodDescriptionFactorValueOntologyUtils.getAnnotationsById(FactorValue fv) Create a mapping of annotation IDs to annotations for a FactorValue.static StringFactorValueOntologyUtils.getUri(FactorValue factorValue) Obtain a suitable ontology ID for a given factor value. -
Uses of FactorValue in ubic.gemma.core.visualization.cellbrowser
Method parameters in ubic.gemma.core.visualization.cellbrowser with type arguments of type FactorValueModifier 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 FactorValue in ubic.gemma.model.analysis.expression.diff
Methods in ubic.gemma.model.analysis.expression.diff that return FactorValueModifier and TypeMethodDescriptionExpressionAnalysisResultSet.getBaselineGroup()Baseline.getFactorValue()Contrast.getFactorValue()ContrastResult.getFactorValue()Baseline.getSecondFactorValue()Contrast.getSecondFactorValue()ContrastResult.getSecondFactorValue()DifferentialExpressionAnalysis.getSubsetFactorValue()If non-null, a factor value applicable to theExpressionExperimentSubSetbeing analyzed.Methods in ubic.gemma.model.analysis.expression.diff that return types with arguments of type FactorValueMethods in ubic.gemma.model.analysis.expression.diff with parameters of type FactorValueModifier and TypeMethodDescriptionstatic BaselineBaseline.categorical(FactorValue fv) Create a baseline for a single categorical factor.static ContrastContrast.categorical(FactorValue fv) Create a contrast for a categorical factor.static BaselineBaseline.interaction(FactorValue fv1, FactorValue fv2) Create a baseline for an interaction of factors.static ContrastContrast.interaction(FactorValue fv1, FactorValue fv2) Create an interaction of two categorical factors.static ContrastResultContrastResult.Factory.newInstance(Double pvalue, Double tstat, Double coefficient, Double logFoldChange, FactorValue factorValue, FactorValue secondFactorValue) static ExpressionAnalysisResultSetExpressionAnalysisResultSet.Factory.newInstance(Set<ExperimentalFactor> experimentalFactors, Integer numberOfProbesTested, Integer numberOfGenesTested, FactorValue baselineGroup, Set<DifferentialExpressionAnalysisResult> results, DifferentialExpressionAnalysis analysis, PvalueDistribution pvalueDistribution, Set<HitListSize> hitListSizes) voidExpressionAnalysisResultSet.setBaselineGroup(FactorValue baselineGroup) voidContrastResult.setFactorValue(FactorValue factorValue) voidContrastResult.setSecondFactorValue(FactorValue secondFactorValue) voidDifferentialExpressionAnalysis.setSubsetFactorValue(FactorValue subsetFactorValue) -
Uses of FactorValue in ubic.gemma.model.expression.biomaterial
Methods in ubic.gemma.model.expression.biomaterial that return types with arguments of type FactorValueModifier and TypeMethodDescriptionBioMaterial.getAllFactorValues()Obtain all theFactorValueassociated to this biomaterial, including those inherited from its ancestors viaBioMaterial.getSourceBioMaterial().BioMaterial.getFactorValues()Obtain the values that this BioAssay is associated with for the experiment.Method parameters in ubic.gemma.model.expression.biomaterial with type arguments of type FactorValueModifier and TypeMethodDescriptionvoidBioMaterial.setFactorValues(Set<FactorValue> factorValues) -
Uses of FactorValue in ubic.gemma.model.expression.experiment
Methods in ubic.gemma.model.expression.experiment that return FactorValueModifier and TypeMethodDescriptionstatic FactorValueFactorValue.Factory.newInstance()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.Methods in ubic.gemma.model.expression.experiment that return types with arguments of type FactorValueModifier and TypeMethodDescriptionstatic 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.ExperimentalFactor.getFactorValues()Methods in ubic.gemma.model.expression.experiment with parameters of type FactorValueModifier and TypeMethodDescriptionstatic StringFactorValueUtils.getSummaryString(FactorValue fv) Produce a summary string for this factor value.static StringFactorValueUtils.getSummaryString(FactorValue fv, String statementDelimiter) static StringFactorValueUtils.getSummaryString(FactorValue fv, Characteristic category, String statementDelimiter) static StringFactorValueUtils.getValue(FactorValue fv, String delimiter) Produce a value for representing a factor value.static String[]FactorValueUtils.getValues(FactorValue fv) Method parameters in ubic.gemma.model.expression.experiment with type arguments of type FactorValueModifier and TypeMethodDescriptionvoidExperimentalFactor.setFactorValues(Set<FactorValue> factorValues) Constructors in ubic.gemma.model.expression.experiment with parameters of type FactorValueModifierConstructorDescriptionprotectedAbstractFactorValueValueObject(FactorValue fv, boolean includeExperimentalFactor) Deprecated.FactorValueValueObject(FactorValue value, boolean includeExperimentalFactor) Deprecated.Create a FactorValue VO.Deprecated.Create a FactorValue VO focusing on a specific statement. -
Uses of FactorValue in ubic.gemma.persistence.service.expression.experiment
Methods in ubic.gemma.persistence.service.expression.experiment that return FactorValueModifier and TypeMethodDescriptionExpressionExperimentService.addFactorValue(ExpressionExperiment ee, FactorValue fv) ExpressionExperimentServiceImpl.addFactorValue(ExpressionExperiment ee, FactorValue fv) FactorValueDaoImpl.create(FactorValue factorValue) FactorValueDaoImpl.find(FactorValue factorValue) FactorValueService.loadWithExperimentalFactor(Long id) FactorValueServiceImpl.loadWithExperimentalFactor(Long id) <T extends Exception>
FactorValueFactorValueService.loadWithExperimentalFactorOrFail(Long id, Function<String, T> exceptionSupplier) Load aFactorValuewith an initialized experimental factor or fail.<T extends Exception>
FactorValueFactorValueServiceImpl.loadWithExperimentalFactorOrFail(Long id, Function<String, T> exceptionSupplier) FactorValueDao.loadWithOldStyleCharacteristics(Long id, boolean readOnly) Deprecated.FactorValueDaoImpl.loadWithOldStyleCharacteristics(Long id, boolean readOnly) Deprecated.FactorValueService.loadWithOldStyleCharacteristics(Long id, boolean readOnly) Deprecated.do not use this, it is only meant for the purpose of migrating old-style characteristics to statementsFactorValueServiceImpl.loadWithOldStyleCharacteristics(Long id, boolean readOnly) Deprecated.FactorValueDaoImpl.save(FactorValue entity) Methods in ubic.gemma.persistence.service.expression.experiment that return types with arguments of type FactorValueModifier and TypeMethodDescriptionFactorValueDao.findByValueStartingWith(String valuePrefix, int maxResults) Deprecated.FactorValueDaoImpl.findByValueStartingWith(String valuePrefix, int maxResults) FactorValueService.findByValueStartingWith(String valuePrefix, int maxResults) Deprecated.becausegetValue()is deprecatedFactorValueServiceImpl.findByValueStartingWith(String valuePrefix, int maxResults) Deprecated.FactorValueDao.getExperimentalFactorCategories(Collection<FactorValue> factorValues) FactorValueDaoImpl.getExperimentalFactorCategories(Collection<FactorValue> factorValues) FactorValueService.getExperimentalFactorCategoriesIgnoreAcls(Collection<FactorValue> factorValues) Obtain the categories of the given factor values.FactorValueServiceImpl.getExperimentalFactorCategoriesIgnoreAcls(Collection<FactorValue> factorValues) FactorValueDao.getExpressionExperimentsIgnoreAcls(Collection<FactorValue> factorValues) FactorValueDaoImpl.getExpressionExperimentsIgnoreAcls(Collection<FactorValue> factorValues) FactorValueService.getExpressionExperimentsIgnoreAcls(Collection<FactorValue> factorValues) For efficiency, only the ID, short name and name of the EEs are populated.FactorValueServiceImpl.getExpressionExperimentsIgnoreAcls(Collection<FactorValue> factorValues) ExpressionExperimentSubSetDao.getFactorValuesUsed(Long subSetId, Long experimentalFactor) ExpressionExperimentSubSetDao.getFactorValuesUsed(ExpressionExperimentSubSet entity, ExperimentalFactor factor) Obtain theFactorValueused by the samples from this subset in the given factor.ExpressionExperimentSubSetDaoImpl.getFactorValuesUsed(Long subSetId, Long experimentalFactor) ExpressionExperimentSubSetDaoImpl.getFactorValuesUsed(ExpressionExperimentSubSet entity, ExperimentalFactor factor) ExpressionExperimentSubSetService.getFactorValuesUsed(ExpressionExperimentSubSet entity, ExperimentalFactor factor) ExpressionExperimentSubSetServiceImpl.getFactorValuesUsed(ExpressionExperimentSubSet entity, ExperimentalFactor factor) ExpressionExperimentService.getSubSetsByFactorValue(ExpressionExperiment expressionExperiment, BioAssayDimension dimension) Reconstitute the FV to subset mapping for a given experiment.ExpressionExperimentService.getSubSetsByFactorValue(ExpressionExperiment expressionExperiment, ExperimentalFactor experimentalFactor, BioAssayDimension dimension) Reconstitute the FV to subset mapping for a given experiment and factor.ExpressionExperimentServiceImpl.getSubSetsByFactorValue(ExpressionExperiment expressionExperiment, BioAssayDimension dimension) 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) FactorValueDao.loadAll(int offset, int limit) Load a slice ofFactorValues.FactorValueDaoImpl.loadAll(int offset, int limit) FactorValueService.loadAll(int offset, int limit) Load a slice ofFactorValues.FactorValueServiceImpl.loadAll(int offset, int limit) FactorValueService.loadIgnoreAcls(Set<Long> ids) LoadFactorValues by IDs, ignoring ACLs.FactorValueServiceImpl.loadIgnoreAcls(Set<Long> ids) Methods in ubic.gemma.persistence.service.expression.experiment with parameters of type FactorValueModifier and TypeMethodDescriptionExpressionExperimentService.addFactorValue(ExpressionExperiment ee, FactorValue fv) ExpressionExperimentServiceImpl.addFactorValue(ExpressionExperiment ee, FactorValue fv) voidFactorValueNeedsAttentionService.clearNeedsAttentionFlag(FactorValue factorValue, String note) Clear a needs attention flag on a given factor value.voidFactorValueNeedsAttentionServiceImpl.clearNeedsAttentionFlag(FactorValue factorValue, String note) FactorValueDaoImpl.create(FactorValue factorValue) FactorValueService.createStatement(FactorValue factorValue, Statement statement) Create a given statement and add it to the given factor value.FactorValueServiceImpl.createStatement(FactorValue factorValue, Statement statement) protected FactorValueValueObjectFactorValueDaoImpl.doLoadValueObject(FactorValue entity) FactorValueDaoImpl.find(FactorValue factorValue) ExpressionExperimentDao.findByFactorValue(FactorValue fv) ExpressionExperimentDaoImpl.findByFactorValue(FactorValue fv) ExpressionExperimentService.findByFactorValue(FactorValue factorValue) ExpressionExperimentServiceImpl.findByFactorValue(FactorValue factorValue) voidFactorValueNeedsAttentionService.markAsNeedsAttention(FactorValue factorValue, String note) Mark a given factor value as needs attention.voidFactorValueNeedsAttentionServiceImpl.markAsNeedsAttention(FactorValue factorValue, String note) voidFactorValueDaoImpl.remove(FactorValue factorValue) voidFactorValueServiceImpl.remove(FactorValue entity) voidFactorValueService.removeStatement(FactorValue fv, Statement c) Remove a statement from a factor value.voidFactorValueServiceImpl.removeStatement(FactorValue fv, Statement statement) FactorValueDaoImpl.save(FactorValue entity) FactorValueService.saveStatement(FactorValue fv, Statement statement) Create a given statement as perFactorValueService.createStatement(FactorValue, Statement)if it is transient, otherwise update an existing statement.FactorValueServiceImpl.saveStatement(FactorValue fv, Statement statement) FactorValueService.saveStatementIgnoreAcl(FactorValue fv, Statement statement) Deprecated.do not use this, it is meant for FactorValue migration onlyFactorValueServiceImpl.saveStatementIgnoreAcl(FactorValue fv, Statement statement) voidFactorValueDaoImpl.update(FactorValue entity) voidFactorValueDao.updateIgnoreAcl(FactorValue fv) Deprecated.do not use this, it is only a workaround to make FV migration fastervoidFactorValueDaoImpl.updateIgnoreAcl(FactorValue fv) Method parameters in ubic.gemma.persistence.service.expression.experiment with type arguments of type FactorValueModifier and TypeMethodDescriptionvoidExpressionExperimentService.addFactorValues(ExpressionExperiment ee, Map<BioMaterial, FactorValue> fvs) Intended with the case of a continuous factor being added.voidExpressionExperimentServiceImpl.addFactorValues(ExpressionExperiment ee, Map<BioMaterial, FactorValue> fvs) ExpressionExperimentDao.findByFactorValues(Collection<FactorValue> fvs) ExpressionExperimentDaoImpl.findByFactorValues(Collection<FactorValue> fvs) ExpressionExperimentService.findByFactorValues(Collection<FactorValue> factorValues) ExpressionExperimentServiceImpl.findByFactorValues(Collection<FactorValue> factorValues) FactorValueDao.getExperimentalFactorCategories(Collection<FactorValue> factorValues) FactorValueDaoImpl.getExperimentalFactorCategories(Collection<FactorValue> factorValues) FactorValueService.getExperimentalFactorCategoriesIgnoreAcls(Collection<FactorValue> factorValues) Obtain the categories of the given factor values.FactorValueServiceImpl.getExperimentalFactorCategoriesIgnoreAcls(Collection<FactorValue> factorValues) FactorValueDao.getExpressionExperimentsIgnoreAcls(Collection<FactorValue> factorValues) FactorValueDaoImpl.getExpressionExperimentsIgnoreAcls(Collection<FactorValue> factorValues) FactorValueService.getExpressionExperimentsIgnoreAcls(Collection<FactorValue> factorValues) For efficiency, only the ID, short name and name of the EEs are populated.FactorValueServiceImpl.getExpressionExperimentsIgnoreAcls(Collection<FactorValue> factorValues) voidFactorValueServiceImpl.remove(Collection<FactorValue> entities) -
Uses of FactorValue in ubic.gemma.persistence.util
Methods in ubic.gemma.persistence.util that return types with arguments of type FactorValueModifier and TypeMethodDescriptionFactorValueVector.getValuesForFactor(ExperimentalFactor factor) Methods in ubic.gemma.persistence.util with parameters of type FactorValueModifier and TypeMethodDescriptionstatic voidBusinessKey.checkKey(FactorValue factorValue) intFactorValueComparator.compare(FactorValue v1, FactorValue v2) static voidBusinessKey.createQueryObject(Criteria queryObject, FactorValue factorValue) -
Uses of FactorValue in ubic.gemma.rest
Constructor parameters in ubic.gemma.rest with type arguments of type FactorValueModifierConstructorDescriptionExpressionExperimentSubsetWithFactorValuesObject(ExpressionExperimentSubSet subset, Set<FactorValue> factorValues, Map<ArrayDesign, ArrayDesignValueObject> id2advo, boolean includeAssays, Map<BioAssay, BioAssay> assay2sourceAssayMap) -
Uses of FactorValue in ubic.gemma.web.controller.expression.biomaterial
Method parameters in ubic.gemma.web.controller.expression.biomaterial with type arguments of type FactorValueModifier and TypeMethodDescriptionvoidBioMaterialController.addFactorValueTo(Collection<Long> bmIds, EntityDelegator<FactorValue> factorValueId) AJAX -
Uses of FactorValue in ubic.gemma.web.controller.expression.experiment
Method parameters in ubic.gemma.web.controller.expression.experiment with type arguments of type FactorValueModifier and TypeMethodDescriptionvoidExperimentalDesignController.createFactorValueCharacteristic(EntityDelegator<FactorValue> e, CharacteristicValueObject cvo) AJAX -
Uses of FactorValue in ubic.gemma.web.taglib
Methods in ubic.gemma.web.taglib with parameters of type FactorValue