Reproducibility of mass spectrometry based metabolomics data.

ABSTRACT:

Background

Assessing the reproducibility of measurements is an important first step for improving the reliability of downstream analyses of high-throughput metabolomics experiments. We define a metabolite to be reproducible when it demonstrates consistency across replicate experiments. Similarly, metabolites which are not consistent across replicates can be labeled as irreproducible. In this work, we introduce and evaluate the use (Ma)ximum (R)ank (R)eproducibility (MaRR) to examine reproducibility in mass spectrometry-based metabolomics experiments. We examine reproducibility across technical or biological samples in three different mass spectrometry metabolomics (MS-Metabolomics) data sets.

Results

We apply MaRR, a nonparametric approach that detects the change from reprod

SUBMITTER: Ghosh T 

PROVIDER: S-EPMC8424977 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature