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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	BMC bioinformatics Ročník 24; číslo 1; s. 82 - 19
Hlavní autoři:	Calle, M. Luz, Pujolassos, Meritxell, Susin, Antoni
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 06.03.2023 BioMed Central Ltd Springer Nature B.V BMC
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!