Ontology highlight
ABSTRACT: Background
Comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GCxGC/TOF-MS) has been used for metabolite profiling in metabolomics. However, there is still much experimental variation to be controlled including both within-experiment and between-experiment variation. For efficient analysis, an ideal peak alignment method to deal with such variations is in great need.Results
Using experimental data of a mixture of metabolite standards, we demonstrated that our method has better performance than other existing method which is not model-based. We then applied our method to the data generated from the plasma of a rat, which also demonstrates good performance of our model.Conclusions
We developed a model-based peak alignment method to proc
SUBMITTER: Jeong J
PROVIDER: S-EPMC3323827 | biostudies-literature | 2012 Feb
REPOSITORIES: biostudies-literature