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propr: Calculating Proportionality Between Vectors of Compositional Data
The bioinformatic evaluation of gene co-expression often begins with correlation-based analyses. However, correlation lacks validity when applied to relative data, including count data generated by next-generation sequencing. This package implements several metrics for proportionality, including phi [Lovell et al (2015) <DOI:10.1371/journal.pcbi.1004075>] and rho [Erb and Notredame (2016) <DOI:10.1007/s12064-015-0220-8>]. This package also implements several metrics for differential proportionality. Unlike correlation, these measures give the same result for both relative and absolute data.
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Package details |
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| Author | Thomas Quinn [aut, cre], David Lovell [aut], Ionas Erb [aut], Anders Bilgrau [ctb], Greg Gloor [ctb], Ryan Moore [ctb] |
| Maintainer | Thomas Quinn <contacttomquinn@gmail.com> |
| License | GPL-2 |
| Version | 4.2.6 |
| URL | http://github.com/tpq/propr |
| Package repository | View on CRAN |
| Installation |
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