Interpretation and visualization of non-linear data fusion in kernel space: Study on metabolomic characterization of progression of multiple sclerosis

PLoS ONE

Volumn 7, Issue 6, 2012, Pages

  Smolinska, Agnieszka ^a   Blanchet, Lionel ^a   Coulier, Leon ^b   Ampt, Kirsten A M ^a   Luider, Theo ^c   Hintzen, Rogier Q ^c   Wijmenga, Sybren S ^a   Buydens, Lutgarde M C ^a  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b TNO   (Netherlands)

^c ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DATA EXTRACTION; DISEASE COURSE; HUMAN; INFORMATION PROCESSING; KERNEL METHOD; KERNEL PARTIAL LEAST SQUARE DISCRIMINANT ANALYSIS; METABOLOMICS; MULTIPLE SCLEROSIS; PREDICTION; RELIABILITY; SUPPORT VECTOR MACHINE RECURSIVE FEATURE ELIMINATION; ADULT; CEREBROSPINAL FLUID; CLINICAL TRIAL; DEVICES; FEMALE; MALE; MASS SPECTROMETRY; METABOLOME; MULTICENTER STUDY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PROCEDURES; RANDOMIZED CONTROLLED TRIAL;

ADULT; AUTOMATIC DATA PROCESSING; DATASETS AS TOPIC; FEMALE; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; MALE; MASS SPECTROMETRY; METABOLOME; METABOLOMICS; MULTIPLE SCLEROSIS;

EID: 84862003752     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0038163     Document Type: Article

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