Computational methods for metabolomic data analysis of ion mobility spectrometry data-Reviewing the state of the art

Metabolites

Volumn 2, Issue 4, 2012, Pages 733-755

  Hauschild, Anne Christin ^a,b   Schneider, Till ^a,b   Pauling, Josch ^a,b   Rupp, Kathrin ^c   Jang, Mi ^c   Baumbach, Jörg Ingo ^c   Baumbach, Jan ^a,b,d  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^b SAARLAND UNIVERSITY   (Germany)

^c Korea Institute of Science and Technology Europe   (Germany)

^d UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

Author keywords

Clinical diagnostics; Ion mobility spectrometry; Metabolomics; Peak detection; Statistical learning methods; Statistics; Volatile organic compounds

Indexed keywords

ALGORITHM; CLINICAL DATA REPOSITORY; COMPUTER ANALYSIS; CORRELATION ANALYSIS; DATA BASE; DATA MINING; DATA PROCESSING; ELECTRIC FIELD; ION MOBILITY SPECTROMETRY; LEARNING; METABOLITE; PRINCIPAL COMPONENT ANALYSIS; REVIEW; SIGNAL NOISE RATIO; WAVELET ANALYSIS;

EID: 84880398974     PISSN: None     EISSN: 22181989     Source Type: Journal    
DOI: 10.3390/metabo2040733     Document Type: Review

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