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\alias{sigMatrix,CuffSet-method}
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Returns a ggplot2 plot object representing a matrix of significant features. This is a useful synopsis of all significant pairwise comparisons within the dataset.
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\S4method{sigMatrix}{CuffSet}(object,alpha=0.05,level='genes',orderByDist=FALSE)
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%- maybe also 'usage' for other objects documented here.
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An object of class CuffSet.
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An alpha value by which to filter multiple-testing corrected q-values to determine significance
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Feature level to be queried for significance (must be one of c('genes','isoforms','TSS','CDS')
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Logical. If TRUE then samples are re-ordered based on JS-distance from one another (fairly useless unless you have a specific need for this).
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Creates a matrix plot to illustrate the number of significant features of type 'level' at a given alpha from a cuffdiff run.
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a<-readCufflinks(system.file("extdata", package="cummeRbund")) #Create CuffSet object from sample data
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d<-sigMatrix(a) #Create csDensity plot