propr (2.0.0)

Calculating Proportionality Between Vectors of Compositional Data.

http://github.com/tpq/propr
http://cran.r-project.org/web/packages/propr

The bioinformatic evaluation of gene co-expression often begins with correlation-based analyses. However, this approach lacks statistical validity when applied to relative data, including those biological count data produced by microarray assays or high-throughput RNA-sequencing. As an alternative, Lovell et al propose a proportionality metric, phi, derived from compositional data analysis, a branch of math dealing specifically with relative data. In a subsequent publication, Erb and Nicodemus expounded these efforts by elaborating on another proportionality metric, rho. This package introduces a programmatic framework for the calculation of feature dependence through proportionality, as discussed in the cited publications.

Maintainer: Thomas Quinn
Author(s): Thomas Quinn [aut, cre], David Lovell [aut]

License: GPL-2

Uses: Rcpp, compositions, ggplot2, testthat, knitr, ggthemes, dendextend, rmarkdown
Reverse suggests: balance, exprso

Released over 2 years ago.