Uses of Class
ubic.gemma.model.analysis.expression.coexpression.SampleCoexpressionMatrix

Packages that use SampleCoexpressionMatrix

Package	Description
ubic.gemma.model.analysis.expression.coexpression
ubic.gemma.persistence.service.analysis.expression.sampleCoexpression

Uses of SampleCoexpressionMatrix in ubic.gemma.model.analysis.expression.coexpression

Methods in ubic.gemma.model.analysis.expression.coexpression that return SampleCoexpressionMatrix

Modifier and Type	Method	Description
SampleCoexpressionMatrix	SampleCoexpressionAnalysis.getBestCoexpressionMatrix()
SampleCoexpressionMatrix	SampleCoexpressionAnalysis.getFullCoexpressionMatrix()	Note that since you get a full square matrix, all correlations are represented twice, and values on the main diagonal will always be 1.
SampleCoexpressionMatrix	SampleCoexpressionAnalysis.getRegressedCoexpressionMatrix()	Note that since you get a full square matrix, all correlations are represented twice, and values on the main diagonal will always be 1.
static SampleCoexpressionMatrix	SampleCoexpressionMatrix.Factory.newInstance(BioAssayDimension bioAssayDimension, byte[] coexpressionMatrix)

Methods in ubic.gemma.model.analysis.expression.coexpression with parameters of type SampleCoexpressionMatrix

Modifier and Type	Method	Description
static SampleCoexpressionAnalysis	SampleCoexpressionAnalysis.Factory.newInstance(BioAssaySet experimentAnalyzed, SampleCoexpressionMatrix fullCoexpressionMatrix, SampleCoexpressionMatrix regressedCoexpressionMatrix)
void	SampleCoexpressionAnalysis.setFullCoexpressionMatrix(SampleCoexpressionMatrix rawFullCoexpressionMatrix)
void	SampleCoexpressionAnalysis.setRegressedCoexpressionMatrix(SampleCoexpressionMatrix regressedCoexpressionMatrix)

Uses of SampleCoexpressionMatrix in ubic.gemma.persistence.service.analysis.expression.sampleCoexpression

Constructors in ubic.gemma.persistence.service.analysis.expression.sampleCoexpression with parameters of type SampleCoexpressionMatrix

Constructor	Description
PreparedCoexMatrices(SampleCoexpressionMatrix matrix, SampleCoexpressionMatrix regressedMatrix)