Large-scale untargeted LC-MS metabolomics data correction using between-batch feature alignment and cluster-based within-batch signal intensity drift correction.
Artikel i vetenskaplig tidskrift, 2016

Liquid chromatography-mass spectrometry (LC-MS) is a commonly used technique in untargeted metabolomics owing to broad coverage of metabolites, high sensitivity and simple sample preparation. However, data generated from multiple batches are affected by measurement errors inherent to alterations in signal intensity, drift in mass accuracy and retention times between samples both within and between batches. These measurement errors reduce repeatability and reproducibility and may thus decrease the power to detect biological responses and obscure interpretation.

Författare

Carl Brunius

Chalmers, Biologi och bioteknik, Livsmedelsvetenskap

Lin Shi

Chalmers, Biologi och bioteknik, Livsmedelsvetenskap

Rikard Landberg

Chalmers, Biologi och bioteknik, Livsmedelsvetenskap

Metabolomics

1573-3882 (ISSN) 1573-3890 (eISSN)

Vol. 12 11 173- 173

Styrkeområden

Livsvetenskaper och teknik

Ämneskategorier

Näringslära

DOI

10.1007/s11306-016-1124-4

PubMed

27746707

Mer information

Skapat

2017-10-08