2022
DOI: 10.1128/msystems.00155-22
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Approximation of a Microbiome Composition Shift by a Change in a Single Balance Between Two Groups of Taxa

Abstract: The method proposed here extends the range of compositional methods providing interpretation of classical statistical tools applied to data converted to the ILR coordinates. It provides a strictly optimal solution in several special cases. The approach is universally applicable to compositional data of any nature, including microbiome data sets.

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Cited by 10 publications
(20 citation statements)
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“…Overall, microbiome composition on the level of species was significantly associated with the sample type (paired PERMANOVA with correction on Shannon index, p = 0.0001, R 2 = 27%). A more detailed comparison of stool and biopsy using the nearest balance method [ 30 ] showed 20 species reproducibly associated with the stool samples, and 14 species—with biopsy ( Supplementary Table S1 ). The stool vs. biopsy distinction was emphasized by the absolute results of area under the curve analysis (average AUC on the test set across 500 iterations of cross-validation was equal to 1 ± 0).…”
Section: Resultsmentioning
confidence: 99%
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“…Overall, microbiome composition on the level of species was significantly associated with the sample type (paired PERMANOVA with correction on Shannon index, p = 0.0001, R 2 = 27%). A more detailed comparison of stool and biopsy using the nearest balance method [ 30 ] showed 20 species reproducibly associated with the stool samples, and 14 species—with biopsy ( Supplementary Table S1 ). The stool vs. biopsy distinction was emphasized by the absolute results of area under the curve analysis (average AUC on the test set across 500 iterations of cross-validation was equal to 1 ± 0).…”
Section: Resultsmentioning
confidence: 99%
“…Our study is the first one to statistically examine the links of pre-CRC microbiome composition with the lesion characteristics using a compositionality-aware approach (specifically, via our novel method—the nearest balance [ 30 ]). Compositional statistical algorithms provide more accurate results by accounting for the fact that the microbiome sequencing data inherently do not provide the absolute quantity of each taxon, but only their relative abundance (i.e., they are compositional).…”
Section: Discussionmentioning
confidence: 99%
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“…This letter is about a particular case of approximation of a compositional vector by the nearest balance—its application to principal balance analysis (PBA). It compares two methods: our NearestBalance approach ( 1 ) and the constrained method suggested previously in references 2 and 3 . We recognize that they have the same underlying idea, and we apologize for having missed this fact in our original paper.…”
Section: Lettermentioning
confidence: 99%
“…This letter was motivated by a discussion at the conference on compositional data analysis CoDaWork2022. We presented our nearest balance approach to approximation of a compositional vector ( 1 ) and mentioned its application to principal balance analysis (PBA). J.…”
Section: Lettermentioning
confidence: 99%