Self Adjusting Algorithm for the Nontargeted Feature Detection of High Resolution Mass Spectrometry Coupled with Liquid Chromatography Profile Data

Nontargeted feature detection in data from high resolution mass spectrometry is a challenging task, due to the complex and noisy nature of data sets. Numerous feature detection and preprocessing strategies have been developed in an attempt to tackle this challenge, but recent evidence has indicated...

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Veröffentlicht in:	Analytical chemistry (Washington) 2019-08, Vol.91 (16), p.10800-10807
Hauptverfasser:	Samanipour, Saer, O’Brien, Jake W, Reid, Malcolm J, Thomas, Kevin V
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytical chemistry Chemistry High resolution Liquid chromatography Mass spectrometry Mass spectroscopy Preprocessing Scientific imaging Spectroscopy Wastewater
Online-Zugang:	Volltext
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