propr: Calculating Proportionality Between Vectors of Compositional Data
Version 3.1.4

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.

Package details

AuthorThomas Quinn [aut, cre], David Lovell [aut], Ionas Erb [aut], Anders Bilgrau [ctb], Greg Gloor [ctb]
Date of publication2018-01-18 20:25:39 UTC
MaintainerThomas Quinn <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the propr package in your browser

Any scripts or data that you put into this service are public.

propr documentation built on Jan. 20, 2018, 9:22 a.m.