Using deep learning to evaluate peaks in chromatographic data

Analysis of untargeted gas-chromatographic data is time consuming. With the earlier introduction of the PARAFAC2 (PARAllel FACtor analysis 2) based PARADISe (PARAFAC2 based Deconvolution and Identification System) approach in 2017, this task was made considerably more time-efficient. However, there...

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Veröffentlicht in:	Talanta (Oxford) 2019-11, Vol.204, p.255-260
Hauptverfasser:	Risum, Anne Bech, Bro, Rasmus
Format:	Artikel
Sprache:	eng
Schlagworte:	Automation Deep learning Expert system PARAFAC2
Online-Zugang:	Volltext
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