gabrielodom/pathwayPCA: Test Pathways for Statistically Significant Relationships
Version 0.0.0.9000

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]>
LicenseGPL-2
Version0.0.0.9000
URL https://github.com/gabrielodom/pathwayPCA https://gabrielodom.github.io/pathwayPCA/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("gabrielodom/pathwayPCA")
gabrielodom/pathwayPCA documentation built on May 3, 2018, 4:22 a.m.