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

ABSTRACT: 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 normalization methods have been developed to overcome these problems either by exploiting already known pharmacokinetic information or by statistical means. Here we present an improved normalization method, MIX, that combines the advantages of both approaches. It couples two normalization terms, one based on a pharmacokinetic model (PKM) and the other representing a popular statistical approach, probabilistic quotient normalization (PQN), in a single model. To test the performance of MIX, we generated syn

SUBMITTER: Gotsmy M 

PROVIDER: S-EPMC9482228 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature