Orthonormal pairwise logratio selection (OPALS) algorithm for compositional data analysis in high dimensions
The OPALS algorithm is described in detail in this article and can be implemented directly from the provided methodology. The performance and properties of the method are illustrated through two examples using contemporary molecular biology data.
Authors
- Karel Hron (ORCID: https://orcid.org/0000-0002-1847-6598)
- Magali Berland (ORCID: https://orcid.org/0000-0002-6762-5350)
- Matthias Templ (ORCID: https://orcid.org/0000-0002-8638-5276)
- Javier Palarea‐Albaladejo (ORCID: https://orcid.org/0000-0003-0162-669X)
- Dominik Lachman (ORCID: https://orcid.org/0000-0001-7388-2962)
- Paulína Jašková (ORCID: https://orcid.org/0000-0002-3961-753X)
Institutions
- Universitat de Girona (ES)
- Université Paris-Saclay (FR)
- FHNW University of Applied Sciences and Arts Northwestern Switzerland (CH)
- Microbiologie de l’alimentation au service de la santé (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Palacký University Olomouc (CZ)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf229
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agence Nationale de la Recherche
- Generalitat de Catalunya
- Ministerio de Ciencia e Innovación
- Univerzita Palackého v Olomouci
- European Regional Development Fund
- Agencia Estatal de Investigación