Class DifferentialExpressionAnalysis
- java.lang.Object
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- ubic.gemma.model.common.AbstractDescribable
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- ubic.gemma.model.analysis.Analysis
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- ubic.gemma.model.analysis.expression.ExpressionAnalysis
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- ubic.gemma.model.analysis.SingleExperimentAnalysis
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- ubic.gemma.model.analysis.expression.diff.DifferentialExpressionAnalysis
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- All Implemented Interfaces:
gemma.gsec.model.Securable
,gemma.gsec.model.SecuredChild
,Serializable
,Securable
,SecuredChild
,Describable
,Identifiable
public class DifferentialExpressionAnalysis extends SingleExperimentAnalysis
An analysis of changes in expression levels across experimental conditions- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
DifferentialExpressionAnalysis.Factory
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Constructor Summary
Constructors Constructor Description DifferentialExpressionAnalysis()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description Set<ExpressionAnalysisResultSet>
getResultSets()
Groups of results produced by this differential expression analysis.FactorValue
getSubsetFactorValue()
If non-null, a factor value applicable to theExpressionExperimentSubSet
being analyzed.void
setResultSets(Set<ExpressionAnalysisResultSet> resultSets)
void
setSubsetFactorValue(FactorValue subsetFactorValue)
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Methods inherited from class ubic.gemma.model.analysis.SingleExperimentAnalysis
getExperimentAnalyzed, getNumberOfElementsAnalyzed, getSecurityOwner, setExperimentAnalyzed, setNumberOfElementsAnalyzed
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Methods inherited from class ubic.gemma.model.analysis.Analysis
getProtocol, setProtocol
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Methods inherited from class ubic.gemma.model.common.AbstractDescribable
equals, getDescription, getId, getName, hashCode, setDescription, setId, setName, toString
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Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Methods inherited from interface ubic.gemma.model.common.Identifiable
getId
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Method Detail
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getResultSets
public Set<ExpressionAnalysisResultSet> getResultSets()
Groups of results produced by this differential expression analysis.For example, in a two-way ANOVA, the model has 2 or 3 parameters. The statistical significance tests for each of the effects in the model are stored as separate
ExpressionAnalysisResultSet
objects. Thus, a two-way ANOVA with interactions will have three result sets: the two main effects and the interaction effect.
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setResultSets
public void setResultSets(Set<ExpressionAnalysisResultSet> resultSets)
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getSubsetFactorValue
@Nullable public FactorValue getSubsetFactorValue()
If non-null, a factor value applicable to theExpressionExperimentSubSet
being analyzed.
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setSubsetFactorValue
public void setSubsetFactorValue(@Nullable FactorValue subsetFactorValue)
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