PhysioSpace is a robust statistical method for relating high dimensional omics data.^[Lenz, Michael, et al. "PhysioSpace: relating gene expression experiments from heterogeneous sources using shared physiological processes." PLoS One 8.10 (2013): e77627]. It is designed to take advantage of the vast availability of public omics data, which in combination with statistical approaches make a potent tool capable of analyzing heterogenious biological data sets.
PhysioSpaceMethods is a R package which provides an implementation of PhysioSpace method alongside other handy functions for making PhysioSpace an accessible tool for R users.
You can install this package by:
if (!requireNamespace("remotes", quietly = TRUE))
install.packages("remotes")
remotes::install_gitlab("jrc-combine/PhysioSpaceMethods", host = "git.rwth-aachen.de", build_manual = TRUE, build_vignettes = TRUE)
PhysioSpaceMethods can map user samples inside a physiological space, calculated prior from a compendium of known samples. Explanation of how to use this package is provided in a vignette accessible by:
browseVignettes(package = "PhysioSpaceMethods")
The package was tested with R 3.5.1 on Windows 10, Mac OS X (10.12.6) and Linux (CentOS 7.4).
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.