Carotta: Revealing Hidden Confounder Markers in Metabolic Breath Profiles

Carotta: Revealing Hidden Confounder Markers in Metabolic Breath Profiles

Computational breath analysis is a growing research area aiming at identifying volatile organic compounds (VOCs) in human breath to assist medical diagnostics of the next generation. While inexpensive and non-invasive bioanalytical technologies for metabolite detection in exhaled air and bacterial/f...

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Bibliographic Details
Main Authors: Anne-Christin Hauschild, Tobias Frisch, Jörg Ingo Baumbach, Jan Baumbach
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Metabolites
Subjects:
breathomics
multicapillary column/ion mobility spectrometry
clustering
breath analysis
Online Access:http://www.mdpi.com/2218-1989/5/2/344

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http://www.mdpi.com/2218-1989/5/2/344

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