A network-based feature selection approach to identify metabolic signatures in disease

Journal of Theoretical Biology

Volumn 310, Issue , 2012, Pages 216-222

  Netzer, Michael ^a   Kugler, Karl G ^a   Müller, Laurin A J ^a   Weinberger, Klaus M ^a,b,c   Graber, Armin ^a   Baumgartner, Christian ^a   Dehmer, Matthias ^a  

^a UNIVERSITY FOR HEALTH SCIENCES   (Austria)

^b BIOCRATES LIFE SCIENCES AG   (Austria)

^c Bavarian Nordic GmbH   (Germany)

Author keywords

Biomarkers; Feature selection; Networks; Topological descriptors

Indexed keywords

BIOLOGICAL MARKER;

BIOMARKER; METABOLISM; METABOLITE; NETWORK ANALYSIS; OBESITY; TOPOLOGY;

ACCURACY; ADULT; ARTICLE; CAUSAL ATTRIBUTION; CLASSIFIER; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION NETWORK; DATA ANALYSIS; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE MARKER; FEMALE; HUMAN; MALE; METABOLITE; NETWORK BASED FEATURE SELECTION APPROACH; OBESITY; PREDICTIVE VALUE; PRIORITY JOURNAL; RATIO NETWORK; SENSITIVITY AND SPECIFICITY; TANDEM MASS SPECTROMETRY;

ADULT; ALGORITHMS; CASE-CONTROL STUDIES; HUMANS; METABOLIC NETWORKS AND PATHWAYS; METABOLOMICS; MIDDLE AGED; MODELS, BIOLOGICAL; OBESITY;

EID: 84864070819     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2012.06.003     Document Type: Article

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