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Items: 6

1.

Balances: a New Perspective for Microbiome Analysis.

Rivera-Pinto J, Egozcue JJ, Pawlowsky-Glahn V, Paredes R, Noguera-Julian M, Calle ML.

mSystems. 2018 Jul 17;3(4). pii: e00053-18. doi: 10.1128/mSystems.00053-18. eCollection 2018 Jul-Aug.

2.

Microbiome Datasets Are Compositional: And This Is Not Optional.

Gloor GB, Macklaim JM, Pawlowsky-Glahn V, Egozcue JJ.

Front Microbiol. 2017 Nov 15;8:2224. doi: 10.3389/fmicb.2017.02224. eCollection 2017. Review.

3.

It's all relative: analyzing microbiome data as compositions.

Gloor GB, Wu JR, Pawlowsky-Glahn V, Egozcue JJ.

Ann Epidemiol. 2016 May;26(5):322-9. doi: 10.1016/j.annepidem.2016.03.003. Epub 2016 Apr 2. Review.

PMID:
27143475
4.

Proportionality: a valid alternative to correlation for relative data.

Lovell D, Pawlowsky-Glahn V, Egozcue JJ, Marguerat S, Bähler J.

PLoS Comput Biol. 2015 Mar 16;11(3):e1004075. doi: 10.1371/journal.pcbi.1004075. eCollection 2015 Mar.

5.

Differential effects of genetic vs. environmental quality in Drosophila melanogaster suggest multiple forms of condition dependence.

Bonduriansky R, Mallet MA, Arbuthnott D, Pawlowsky-Glahn V, Egozcue JJ, Rundle HD.

Ecol Lett. 2015 Apr;18(4):317-26. doi: 10.1111/ele.12412. Epub 2015 Feb 2.

PMID:
25649176
6.

Relative vs. absolute statistical analysis of compositions: a comparative study of surface waters of a Mediterranean river.

Otero N, Tolosana-Delgado R, Soler A, Pawlowsky-Glahn V, Canals A.

Water Res. 2005 Apr;39(7):1404-14.

PMID:
15862341

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