A machine learning and chemometrics assisted interpretation of spectroscopic data - A NMR-based metabolomics platform for the assessment of Brazilian propolis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7632 LNBI, Issue , 2012, Pages 129-140

  Maraschin, Marcelo ^a,c   Somensi Zeggio, Amélia ^a   Oliveira, Simone K ^a   Kuhnen, Shirley ^a   Tomazzoli, Maíra M ^a   Zeri, Ana C M ^b   Carreira, Rafael ^c   Rocha, Miguel ^c  

^a FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

^b BRAZILIAN CENTER FOR RESEARCH IN ENERGY AND MATERIALS CNPEM   (Brazil)

^c UNIVERSITY OF MINHO   (Portugal)

Author keywords

evolutionary algorithms; NMR based metabolomics; PLS DA; Random Forest; Supervised classification techniques; wrapper methods

Indexed keywords

METABOLOMICS; PLS-DA; RANDOM FORESTS; SUPERVISED CLASSIFICATION; WRAPPER METHODS;

BIOINFORMATICS; DECISION TREES; DISCRIMINANT ANALYSIS; EVOLUTIONARY ALGORITHMS; LEARNING SYSTEMS; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PATTERN RECOGNITION; PHENOLS;

LEARNING ALGORITHMS;

EID: 84868702371     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34123-6_12     Document Type: Conference Paper

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