CODARFE: Unlocking the prediction of continuous environmental variables based on microbiome
Our findings underscore the robustness and broad applicability of CODARFE across diverse fields, even under varying experimental conditions. Additionally, the ability to predict outcomes in new samples allows for the generation of new insights in previously unexplored contexts, providing researchers with a versatile tool.
Authors
- Manoel Mariano de Lima Barbosa (ORCID: https://orcid.org/0000-0003-3528-1239)
- João Fernando Marques da Silva (ORCID: https://orcid.org/0000-0002-6559-9312)
- Leonardo Cardoso Alves (ORCID: https://orcid.org/0000-0003-2078-7034)
- Alexandre Rossi Paschoal (ORCID: https://orcid.org/0000-0002-8887-0582)
- ROBERT FINN (ORCID: https://orcid.org/0000-0001-8626-2148)
Institutions
- Universidade Tecnológica Federal do Paraná (BR)
- European Bioinformatics Institute (GB)
- Rosalind Franklin Institute (GB)
- Saudi Arabia Basic Industries (United States) (US)
Publication Details
- Journal
- GigaScience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/gigascience/giaf055
- Citations
- 1
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação Araucária
- Universidade Federal do Paraná
- Universidade Tecnológica Federal do Paraná