EVA: Evaluation of Metabolic Feature Fidelity Using a Deep Learning Model Trained With Over 25000 Extracted Ion Chromatograms.
Sign Up to like & getrecommendations! Published in 2021 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.1c01309
Abstract: Extracting metabolic features from liquid chromatography-mass spectrometry (LC-MS) data relies on the recognition of extracted ion chromatogram (EIC) peak shapes using peak picking algorithms. Unfortunately, all peak picking algorithms present a significant drawback of generating… read more here.
Keywords: extracted ion; deep learning; model trained; model ... See more keywords