propr: Calculating Proportionality Between Vectors of Compositional Data
Version 3.0.7

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 publication2017-09-07 03:16:58 UTC
MaintainerThomas Quinn <[email protected]>
LicenseGPL-2
Version3.0.7
URL http://github.com/tpq/propr
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("propr")

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propr documentation built on Sept. 7, 2017, 9:02 a.m.