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Proportionality: a valid alternative to correlation for relative data

Autor
Lovell, David; Pawlowsky, V.; Egozcue, J. J.; Marguerat, S.; Baehler, J.
Tipus d'activitat
Article en revista
Revista
PLOS computational biology
Data de publicació
2015-03-01
Volum
11
Número
3
Pàgina inicial
1
Pàgina final
12
DOI
https://doi.org/10.1371/journal.pcbi.1004075 Obrir en finestra nova
Projecte finançador
Métodos Estadísticos en Espacios Restringidos (Metrics)
Repositori
http://hdl.handle.net/2117/86587 Obrir en finestra nova
URL
http://journals.plos.org/ploscompbiol/article/asset?id=10.1371%2Fjournal.pcbi.1004075.PDF Obrir en finestra nova
Resum
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...
Citació
Lovell, David, Pawlowsky-Glahn, V., Egozcue, J. J., Marguerat, S., Baehler, J. Proportionality: a valid alternative to correlation for relative data. "PLOS computational biology", 01 Març 2015, vol. 11, núm. 3, p. 1-12.
Paraules clau
Fission yeast, Gene-expression, Responses
Grup de recerca
COSDA-UPC - COmpositional and Spatial Data Analysis

Participants

  • Lovell, David  (autor)
  • Pawlowsky Glahn, Vera  (autor)
  • Egozcue Rubi, Juan José  (autor)
  • Marguerat, Samuel  (autor)
  • Baehler, Juerg  (autor)

Arxius