tpq/propr: Calculating Proportionality Between Vectors of Compositional Data
Version 3.1.2

The bioinformatic evaluation of gene co-expression often begins with correlation-based analyses. However, this approach lacks statistical validity when applied to relative data. This includes, for example, biological count data generated by high-throughput RNA-sequencing, chromatin immunoprecipitation (ChIP), ChIP-sequencing, Methyl-Capture sequencing, and other techniques. This package implements several metrics for proportionality, including phi [Lovell et al (2015) ] and rho [Erb and Notredame (2016) ]. This package also implements several metrics for differential proportionality. Unlike correlation, these measures give the same result for both relative and absolute data.

Getting started

Package details

Maintainer
LicenseGPL-2
Version3.1.2
URL http://github.com/tpq/propr
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("tpq/propr")
tpq/propr documentation built on Dec. 1, 2017, 3:55 a.m.