Peak detection method evaluation for ion mobility spectrometry by using machine learning approaches

Metabolites

Volumn 3, Issue 2, 2013, Pages 277-293

  Hauschild, Anne Christin ^a,b   Kopczynski, Dominik ^c   D'Addario, Marianna ^c   Baumbach, Jörg Ingo ^d   Rahmann, Sven ^c,e   Baumbach, Jan ^a,b,f  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^b SAARLAND UNIVERSITY   (Germany)

^c TU DORTMUND UNIVERSITY   (Germany)

^d BioMedizinZentrum Dortmund ^*  (Germany)

^e UNIVERSITY OF DUISBURG ESSEN   (Germany)

^f UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

Author keywords

Ion mobility spectrometry; Machine learning; mcc ims; Peak detection; Spectrum analysis

Indexed keywords

VOLATILE ORGANIC COMPOUND;

AREA UNDER THE CURVE; ARTICLE; EVALUATION; FOURIER TRANSFORMATION; ION MOBILITY SPECTROMETRY; MACHINE LEARNING; MEASUREMENT; MEDICAL DEVICE; MEDICAL RESEARCH; MEDICAL TECHNOLOGY; METABOLOME; PERFORMANCE; PREDICTIVE VALUE; SENSITIVITY AND SPECIFICITY;

EID: 85016505941     PISSN: None     EISSN: 22181989     Source Type: Journal    
DOI: 10.3390/metabo3020277     Document Type: Article

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