jinhyunju/picaplot: An R package for analyzing gene expression data with Principal / Independent Component Analysis
Version 0.99.7

The functionalities included in the picaplot package provides the user with a simple workflow for the application of ICA and/or PCA to gene expression data, and for the analysis of the results. Key features of picaplot includes the visualization of individual components, comprehensive HTML report generation, association testing between components with measured variables, and unsupervised clustering of component coefficients.

Getting started

Package details

AuthorJin Hyun Ju
MaintainerJin Hyun Ju <[email protected]>
LicenseGPL-2
Version0.99.7
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("jinhyunju/picaplot")
jinhyunju/picaplot documentation built on Nov. 9, 2017, 5:13 a.m.