Tests gene expression data from a biological pathway for biologically meaningful differences in the eigenstructure between two classes. Specifically, it tests the null hypothesis that the two classes' leading eigenvalues and sums of eigenvalues are equal. A pathway's leading eigenvalue arguably represents the total variability due to variability in pathway activity, while the sum of all its eigenvalues represents the variability due to pathway activity and to other, unregulated causes. Implementation of the method described in Danaher (2015), "Covariancebased analyses of biological pathways".
Package details 


Author  Patrick Danaher 
Date of publication  20150202 22:37:42 
Maintainer  Patrick Danaher <[email protected]> 
License  GPL2 
Version  1.0 
Package repository  View on CRAN 
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