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
Nested Classes -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionboolean
Important 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 theExpressionExperimentSubSet
being analyzed.void
setResultSets
(Set<ExpressionAnalysisResultSet> resultSets) void
setSubsetFactorValue
(FactorValue subsetFactorValue) Methods inherited from class ubic.gemma.model.analysis.SingleExperimentAnalysis
getExperimentAnalyzed, getNumberOfElementsAnalyzed, getSecurityOwner, setExperimentAnalyzed, setNumberOfElementsAnalyzed
Methods inherited from class ubic.gemma.model.analysis.Analysis
getName, getProtocol, setName, setProtocol
Methods inherited from class ubic.gemma.model.common.AbstractDescribable
getDescription, hashCode, setDescription, toString
Methods inherited from class ubic.gemma.model.common.AbstractIdentifiable
getId, setId
Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
Methods inherited from interface ubic.gemma.model.common.Identifiable
getId
Methods 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
ExpressionAnalysisResultSet
objects. 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 theExpressionExperimentSubSet
being analyzed. -
setSubsetFactorValue
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equals
Description copied from class:AbstractIdentifiable
Important 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:
equals
in classAbstractIdentifiable
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