Informative metabolites identification by variable importance analysis based on random variable combination

Metabolomics

Volumn 11, Issue 6, 2015, Pages 1539-1551

  Yun, Yong Huan ^a   Liang, Fu ^a   Deng, Bai Chuan ^a   Lai, Guang Bi ^b   Vicente Gonçalves, Carlos M ^c   Lu, Hong Mei ^a   Yan, Jun ^a   Huang, Xin ^a   Yi, Lun Zhao ^d   Liang, Yi Zeng ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b HEILONGJIANG UNIVERSITY OF CHINESE MEDICINE   (China)

^c UNIVERSITY OF BERGEN   (Norway)

^d KUNMING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Combination effect; Informative metabolites; Partial least squares linear discriminant analysis; Variable importance

Indexed keywords

ARACHIDONIC ACID; BIOLOGICAL MARKER; CHOLESTEROL; GLUCOSE; GLYCEROL 1 HEXADECANOATE; ISOLEUCINE; PYROGLUTAMIC ACID; STEARIC ACID; UNCLASSIFIED DRUG;

ACCURACY; AREA UNDER THE CURVE; ARTICLE; BINARY MATRIX RESAMPLING; CHILDHOOD OBESITY; COMPUTER PROGRAM; CONTROLLED STUDY; DATA PROCESSING; DISCRIMINANT ANALYSIS; HUMAN; INFORMATION SERVICE; MAJOR CLINICAL STUDY; MASS FRAGMENTOGRAPHY; MATHEMATICAL VARIABLE; METABOLITE; METABOLOMICS; MUSCLE ATROPHY; NASOPHARYNX CARCINOMA; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PARTIAL LEAST SQUARES REGRESSION; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; SAMPLING; SENSITIVITY AND SPECIFICITY; SIMULATION;

EID: 84944275674     PISSN: 15733882     EISSN: 15733890     Source Type: Journal    
DOI: 10.1007/s11306-015-0803-x     Document Type: Article

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