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Analyzing Compositional Data with R
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Citations
Cited by
Microbiome Datasets Are Compositional: And This Is Not Optional
Gloor, G. B., Macklaim, J. M., Pawlowsky-Glahn, V., & Egozcue, J. J. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.02224 · Cited by 3,044
“The clr transformed values can be used as inputs for multivariate hypothesis testing using tools such as MANOVA, regression etc. (Van den Boogaart and Tolosana-Delgado, 2013) and for model building.”
MethodConsistent and correctable bias in metagenomic sequencing experiments
McLaren, M. R., Willis, A. D., & Callahan, B. J. (2019) · eLife · doi:10.7554/elife.46923 · Cited by 429
Compositional analysis: a valid approach to analyze microbiome high-throughput sequencing data
Gloor, G. B., & Reid, G. (2016) · Canadian Journal of Microbiology · doi:10.1139/cjm-2015-0821 · Cited by 373
It's all relative: analyzing microbiome data as compositions
Gloor, G. B., Wu, J. R., Pawlowsky-Glahn, V., & Egozcue, J. J. (2016) · Annals of Epidemiology · doi:10.1016/j.annepidem.2016.03.003 · Cited by 323
A phylogenetic transform enhances analysis of compositional microbiota data
Silverman, J. D., Washburne, A. D., Mukherjee, S., & David, L. A. (2017) · eLife · doi:10.7554/elife.21887 · Cited by 319
Metadata
- Authors
- van den Boogaart, K. G., & Tolosana-Delgado, R.
- Venue
- Springer eBooks
- Publisher
- Springer Berlin Heidelberg
- Published
- 2013
- OpenAlex
- W374884248
- Cited by
- 638
- References
- 0
- FWCI
- 9.04
- Type
- book
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Analyzing Compositional Data with R. https://app.cochat.ai/papers/10.1007/978-3-642-36809-7
- The paper
- van den Boogaart, K. G., & Tolosana-Delgado, R. (2013). Analyzing Compositional Data with R. Springer eBooks. https://doi.org/10.1007/978-3-642-36809-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.