Title:
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Proportionality: A Valid Alternative to Correlation for Relative Data
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Author:
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Lovell, David; Pawlowsky-Glahn, Vera; Egozcue, Juan José; Marguerat, Samuel; Bähler, Jürg
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Abstract:
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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. 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 |
Abstract:
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DL was funded by the Commonwealth Scientific and Industrial Research Organisation (www.csiro.au). VPG was funded by the Spanish Ministry of Education, Culture and Sports under a Salvador de Madariaga grant (Ref. PR2011-0290) and by the Spanish Ministry of Economy and Competitiveness under the project METRICS Ref. MTM2012-33236. JJE was funded by the Agencia de Gestio d'Ajuts Universitaris i de Recerca of the Generalitat de Catalunya under project Ref: 2009SGR424. SM was funded by the UK Medical Research Council. JB was funded by a Wellcome Trust Senior Investigator Award (grant #095598/Z/11/Z) |
Subject(s):
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-Correlació (Estadística) -Correlation (Statistics) -Probabilitats -Probabilities) -Mostreig (Estadística) -Sampling (Statistics) -Expressió gènica -- Mètodes estadístics -Gene expression -- Statistical methods |
Rights:
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Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/ |
Document type:
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Article Article - Published version |
Published by:
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Public Library of Science (PLoS)
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