propr (3.1.4)

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. 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.

Maintainer: Thomas Quinn
Author(s): Thomas Quinn [aut, cre], David Lovell [aut], Ionas Erb [aut], Anders Bilgrau [ctb], Greg Gloor [ctb]

License: GPL-2

Uses: fastcluster, ggplot2, igraph, Rcpp, compositions, rgl, data.table, testthat, SDMTools, reshape2, directlabels, ggdendro, cccrm, knitr, rmarkdown, plotly
Reverse suggests: balance, exprso

Released about 1 year ago.