Class DifferentialExpressionAnalysis
java.lang.Object
ubic.gemma.model.common.AbstractIdentifiable
ubic.gemma.model.common.AbstractDescribable
ubic.gemma.model.analysis.Analysis
ubic.gemma.model.analysis.expression.ExpressionAnalysis
ubic.gemma.model.analysis.SingleExperimentAnalysis<BioAssaySet>
ubic.gemma.model.analysis.expression.diff.DifferentialExpressionAnalysis
- All Implemented Interfaces:
gemma.gsec.model.Securable,gemma.gsec.model.SecuredChild,Securable,SecuredChild,Describable,Identifiable
An analysis of changes in expression levels across experimental conditions
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Nested Class Summary
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionbooleanImportant note: Two objects with the same class and non-null ID must be considered equal.Groups of results produced by this differential expression analysis.If non-null, a factor value applicable to theExpressionExperimentSubSetbeing analyzed.voidsetResultSets(Set<ExpressionAnalysisResultSet> resultSets) voidsetSubsetFactorValue(FactorValue subsetFactorValue) Methods inherited from class ubic.gemma.model.analysis.SingleExperimentAnalysis
getExperimentAnalyzed, getNumberOfElementsAnalyzed, getSecurityOwner, setExperimentAnalyzed, setNumberOfElementsAnalyzedMethods inherited from class ubic.gemma.model.analysis.Analysis
getName, getProtocol, setName, setProtocolMethods inherited from class ubic.gemma.model.common.AbstractDescribable
getDescription, hashCode, setDescription, toStringMethods inherited from class ubic.gemma.model.common.AbstractIdentifiable
getId, setIdMethods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, waitMethods inherited from interface ubic.gemma.model.common.Identifiable
getIdMethods inherited from interface gemma.gsec.model.Securable
getId
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Constructor Details
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DifferentialExpressionAnalysis
public DifferentialExpressionAnalysis()
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Method Details
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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
ExpressionAnalysisResultSetobjects. Thus, a two-way ANOVA with interactions will have three result sets: the two main effects and the interaction effect. -
setResultSets
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getSubsetFactorValue
If non-null, a factor value applicable to theExpressionExperimentSubSetbeing analyzed. -
setSubsetFactorValue
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equals
Description copied from class:AbstractIdentifiableImportant note: Two objects with the same class and non-null ID must be considered equal. If one or both IDs are nulls, the rest of the state can be used to determine equality.- Specified by:
equalsin classAbstractIdentifiable
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