Unknown

Dataset Information

0

Proportionality: a valid alternative to correlation for relative data.


ABSTRACT: In the life sciences, many measurement methods yield only the relative abundances of different components in a sample. With such relative-or compositional-data, differential expression needs careful interpretation, and correlation-a statistical workhorse for analyzing pairwise relationships-is an inappropriate measure of association. Using yeast gene expression data we show how correlation can be misleading and present proportionality as a valid alternative for relative data. We show how the strength of proportionality between two variables can be meaningfully and interpretably described by a new statistic ϕ which can be used instead of correlation as the basis of familiar analyses and visualisation methods, including co-expression networks and clustered heatmaps. While the main aim of this study is to present proportionality as a means to analyse relative data, it also raises intriguing questions about the molecular mechanisms underlying the proportional regulation of a range of yeast genes.

SUBMITTER: Lovell D 

PROVIDER: S-EPMC4361748 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Proportionality: a valid alternative to correlation for relative data.

Lovell David D   Pawlowsky-Glahn Vera V   Egozcue Juan José JJ   Marguerat Samuel S   Bähler Jürg J  

PLoS computational biology 20150316 3


In the life sciences, many measurement methods yield only the relative abundances of different components in a sample. With such relative-or compositional-data, differential expression needs careful interpretation, and correlation-a statistical workhorse for analyzing pairwise relationships-is an inappropriate measure of association. Using yeast gene expression data we show how correlation can be misleading and present proportionality as a valid alternative for relative data. We show how the str  ...[more]

Similar Datasets

| S-EPMC6343338 | biostudies-literature
| S-EPMC9675104 | biostudies-literature
| S-EPMC5991367 | biostudies-literature
| S-EPMC3795661 | biostudies-literature
| S-EPMC10634974 | biostudies-literature
| S-EPMC11909922 | biostudies-literature
| S-EPMC5399403 | biostudies-literature
| S-EPMC9804961 | biostudies-literature
| S-EPMC6694112 | biostudies-literature
| S-EPMC7723344 | biostudies-literature