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Balances: a new perspective for microbiome analysis

Author
Rivera, J.; Egozcue, J. J.; Pawlowsky, V.; Paredes, R.; Noguera, M.; Calle, M.
Type of activity
Journal article
Journal
mSystems
Date of publication
2018-07
Volume
3
Number
4
First page
1
Last page
12
DOI
https://doi.org/10.1128/mSystems.00053-18 Open in new window
Project funding
Statistical methods for clinical trials, complex censoring schemes and integrative omics data analysis
Repository
http://hdl.handle.net/2117/126846 Open in new window
URL
https://msystems.asm.org/content/3/4/e00053-18 Open in new window
Abstract
High-throughput sequencing technologies have revolutionized microbiome research by allowing the relative quantification of microbiome composition and function in different environments. In this work we focus on the identification of microbial signatures, groups of microbial taxa that are predictive of a phenotype of interest. We do this by acknowledging the compositional nature of the microbiome and the fact that it carries relative information. Thus, instead of defining a microbial signature as...
Citation
Rivera, J., Egozcue, J. J., Pawlowsky, V., Paredes, R., Noguera, M., Calle, M. Balances: a new perspective for microbiome analysis. "mSystems", Juliol 2018, vol. 3, núm. 4, p. 1-12.
Keywords
balances, compositional data, microbiome
Group of research
COSDA-UPC - COmpositional and Spatial Data Analysis

Participants

  • Rivera Pinto, J.  (author)
  • Egozcue Rubi, Juan José  (author)
  • Pawlowsky Glahn, Vera  (author)
  • Paredes, Raul  (author)
  • Noguera Julian, Marc  (author)
  • Calle, M. L.  (author)

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