Apply the Supervised PCA and Adaptive, ElasticNet, Sparse PCA
methods to extract principal components from each pathway. Use these pathway
specific principal components as the design matrix relating the response to
each pathway. Return the model fit statistic pvalues, and adjust these values
for False Discovery Rate. Return a data frame of the pathways sorted by their
adjusted pvalues. This package has corresponding vignettes hosted in the
``User Guides'' page of
Package details 


Maintainer  Gabriel Odom <[email protected]> 
License  GPL2 
Version  0.0.0.9000 
URL  https://github.com/gabrielodom/pathwayPCA https://gabrielodom.github.io/pathwayPCA/ 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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