propr (2.0.1)

Calculating Proportionality Between Vectors of Compositional Data.

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. Two metrics of proportionality, phi [Lovell et al (2015) ] and rho [Erb and Notredame (2016) ], both derived from compositional data analysis, a branch of math dealing specifically with relative data, represent novel alternatives to correlation. 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.