coda4microbiome: compositional data analysis for microbiome cross-sectional and longitudinal studies

Background One of the main challenges of microbiome analysis is its compositional nature that if ignored can lead to spurious results. Addressing the compositional structure of microbiome data is particularly critical in longitudinal studies where abundances measured at different times can correspon...

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Bibliographic Details
Published in:	BMC bioinformatics Vol. 24; no. 1; pp. 82 - 19
Main Authors:	Calle, M. Luz, Pujolassos, Meritxell, Susin, Antoni
Format:	Journal Article
Language:	English
Published:	London BioMed Central 06.03.2023 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Alliances Bioinformatics Biomedical and Life Sciences Compositional data analysis Computational Biology/Bioinformatics Computer Appl. in Life Sciences Crohn's disease Cross-Sectional Studies Data Analysis Data mining Disease Feature selection Generalized linear models Graphical representations Humans Infant Life Sciences Log-ratio analysis Longitudinal method Longitudinal Studies Methods Microarrays Microbial signatures Microbiological research Microbiome analysis Microbiomes Microbiota Microorganisms Observational studies Penalized regression R (Programming language) Ratios Signatures Simulation Software Websites Spain Microbiome analysis Log-ratio analysis Microbial signatures Longitudinal studies Penalized regression Compositional data analysis
ISSN:	1471-2105, 1471-2105
Online Access:	Get full text
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