gabrielodom/pathwayPCA: Test Pathways for Statistically Significant Relationships

Apply the Supervised PCA and Adaptive, Elastic-Net, 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 p-values, and adjust these values for False Discovery Rate. Return a data frame of the pathways sorted by their adjusted p-values. This package has corresponding vignettes hosted in the ``User Guides'' page of <>, and the website for the development information is hosted at <>.

Getting started

Package details

MaintainerGabriel Odom <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
gabrielodom/pathwayPCA documentation built on May 3, 2018, 4:22 a.m.