Uses of Class
ubic.gemma.core.analysis.singleCell.aggregate.AggregateConfig

Packages that use AggregateConfig

Package	Description
ubic.gemma.core.analysis.singleCell.aggregate	This packge contains classes for splitting and aggregating single-cell data.

Uses of AggregateConfig in ubic.gemma.core.analysis.singleCell.aggregate

Methods in ubic.gemma.core.analysis.singleCell.aggregate with parameters of type AggregateConfig

Modifier and Type	Method	Description
QuantitationType	SingleCellExpressionExperimentAggregatorService.aggregateVectors(ExpressionExperiment ee, QuantitationType qt, List<BioAssay> cellBAs, CellLevelCharacteristics cellLevelCharacteristics, ExperimentalFactor factor, Map<Characteristic,FactorValue> cellTypeMapping, AggregateConfig config)	Aggregate preferred single-cell data vectors by the given cell-level characteristics.
QuantitationType	SingleCellExpressionExperimentAggregatorServiceImpl.aggregateVectors(ExpressionExperiment ee, QuantitationType qt, List<BioAssay> cellBAs, CellLevelCharacteristics cellLevelCharacteristics, ExperimentalFactor factor, Map<Characteristic,FactorValue> cellType2Factor, AggregateConfig config)
QuantitationType	SingleCellExpressionExperimentAggregatorService.aggregateVectorsByCellType(ExpressionExperiment ee, List<BioAssay> cellBAs, AggregateConfig config)	Aggregate preferred single-cell data vectors by the preferred cell type assignment and the only cell type factor of the experiment.
QuantitationType	SingleCellExpressionExperimentAggregatorServiceImpl.aggregateVectorsByCellType(ExpressionExperiment ee, List<BioAssay> cellBAs, AggregateConfig config)
QuantitationType	SingleCellExpressionExperimentSplitAndAggregateService.redoAggregate(ExpressionExperiment expressionExperiment, QuantitationType scQt, CellLevelCharacteristics clc, ExperimentalFactor factor, Map<Characteristic,FactorValue> c2f, BioAssayDimension dimension, QuantitationType previousQt, AggregateConfig config)	Re-aggregate a dataset by any cell-level characteristics.
QuantitationType	SingleCellExpressionExperimentSplitAndAggregateServiceImpl.redoAggregate(ExpressionExperiment expressionExperiment, QuantitationType scQt, CellLevelCharacteristics clc, ExperimentalFactor factor, Map<Characteristic,FactorValue> c2f, BioAssayDimension dimension, QuantitationType previousQt, AggregateConfig config)
QuantitationType	SingleCellExpressionExperimentSplitAndAggregateService.redoAggregateByCellType(ExpressionExperiment expressionExperiment, BioAssayDimension dimension, QuantitationType previousQt, AggregateConfig config)	Re-aggregate a dataset by cell type.
QuantitationType	SingleCellExpressionExperimentSplitAndAggregateServiceImpl.redoAggregateByCellType(ExpressionExperiment expressionExperiment, BioAssayDimension dimension, QuantitationType previousQt, AggregateConfig config)
QuantitationType	SingleCellExpressionExperimentSplitAndAggregateService.splitAndAggregate(ExpressionExperiment expressionExperiment, QuantitationType scQt, CellLevelCharacteristics cta, ExperimentalFactor cellTypeFactor, Map<Characteristic,FactorValue> c2f, SplitConfig splitConfig, AggregateConfig config)	Split and aggregate by any cell-level characteristics.
QuantitationType	SingleCellExpressionExperimentSplitAndAggregateServiceImpl.splitAndAggregate(ExpressionExperiment expressionExperiment, QuantitationType scQt, CellLevelCharacteristics clc, ExperimentalFactor cellTypeFactor, Map<Characteristic,FactorValue> c2f, SplitConfig splitConfig, AggregateConfig config)
QuantitationType	SingleCellExpressionExperimentSplitAndAggregateService.splitAndAggregateByCellType(ExpressionExperiment expressionExperiment, SplitConfig splitConfig, AggregateConfig config)	Split and aggregate by cell type.
QuantitationType	SingleCellExpressionExperimentSplitAndAggregateServiceImpl.splitAndAggregateByCellType(ExpressionExperiment expressionExperiment, SplitConfig splitConfig, AggregateConfig config)