Class ProcessedExpressionDataVector
- java.lang.Object
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- ubic.gemma.model.expression.bioAssayData.DataVector
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- ubic.gemma.model.expression.bioAssayData.DesignElementDataVector
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- ubic.gemma.model.expression.bioAssayData.ProcessedExpressionDataVector
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- All Implemented Interfaces:
Serializable
,Identifiable
public class ProcessedExpressionDataVector extends DesignElementDataVector
Represents the processed data that is used for actual analyses. The vectors in this class would have been masked to remove missing values.- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
ProcessedExpressionDataVector.Factory
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Constructor Summary
Constructors Constructor Description ProcessedExpressionDataVector()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description ExpressionExperiment
getExpressionExperiment()
Double
getRankByMax()
Double
getRankByMean()
void
setExpressionExperiment(ExpressionExperiment expressionExperiment)
void
setRankByMax(Double rankByMax)
void
setRankByMean(Double rankByMean)
String
toString()
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Methods inherited from class ubic.gemma.model.expression.bioAssayData.DesignElementDataVector
getBioAssayDimension, getDesignElement, setBioAssayDimension, setDesignElement
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Methods inherited from class ubic.gemma.model.expression.bioAssayData.DataVector
equals, getData, getId, getQuantitationType, hashCode, setData, setId, setQuantitationType
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Method Detail
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getExpressionExperiment
public ExpressionExperiment getExpressionExperiment()
- Specified by:
getExpressionExperiment
in classDesignElementDataVector
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setExpressionExperiment
public void setExpressionExperiment(ExpressionExperiment expressionExperiment)
- Specified by:
setExpressionExperiment
in classDesignElementDataVector
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getRankByMax
public Double getRankByMax()
- Returns:
- The relative expression level of this vector in the study. Used as a quick-and-dirty way to provide feedback about the expession level without referring to any absolute baseline other than the minimum in the entire dataset, based on the maximum expression measurement for the probe (so the probe with the lowest expression is the one with the lowest maximum value). For two-color data sets, this is computed using the intensity values for the probe in the two channels, not from the ratios stored in this vector. For one-color data sets, this is computed directly from the intensity levels in this vector.
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setRankByMax
public void setRankByMax(Double rankByMax)
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getRankByMean
public Double getRankByMean()
- Returns:
- The relative expression level of this vector in the study. Used as a quick-and-dirty way to provide feedback about the expession level without referring to any absolute baseline other than the minimum in the entire dataset, based on the mean expression measurement for the probe. For two-color data sets, this is computed using the intensity values for the probe in the two channels, not from the ratios stored in this vector. For one-color data sets, this is computed directly from the intensity levels in this vector.
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setRankByMean
public void setRankByMean(Double rankByMean)
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