Probabilistic quotient’s work and pharmacokinetics’ contribution: countering size effect in metabolic time series measurements

Metabolomic time course analyses of biofluids are highly relevant for clinical diagnostics. However, many sampling methods suffer from unknown sample sizes, commonly known as size effects. This prevents absolute quantification of biomarkers. Recently, several mathematical post acquisition normalizat...

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Detalles Bibliográficos
Autores principales: Gotsmy, Mathias, Brunmair, Julia, Büschl, Christoph, Gerner, Christopher, Zanghellini, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482228/
https://www.ncbi.nlm.nih.gov/pubmed/36114458
http://dx.doi.org/10.1186/s12859-022-04918-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482228/
https://www.ncbi.nlm.nih.gov/pubmed/36114458
http://dx.doi.org/10.1186/s12859-022-04918-1

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