Metabolomics variable selection and classification in the presence of observations below the detection limit using an extension of ERp

BMC Bioinformatics

Volumn 18, Issue 1, 2017, Pages

  Van Reenen, Mari ^b   Westerhuis, Johan A ^a,b   Reinecke, Carolus J ^b   Venter, J Hendrik ^b  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b NORTH WEST UNIVERSITY   (South Africa)

Author keywords

Classification; Detection limit; Metabolomics; Probability mass at zero; Variable selection

Indexed keywords

DISTRIBUTION FUNCTIONS; METABOLITES; PROBABILITY; STATISTICAL TESTS;

CLASSIFICATION ACCURACY; CLASSIFICATION ERROR RATE; CUMULATIVE DISTRIBUTION FUNCTION; DETECTION LIMITS; LEAVE-ONE-OUT CROSS VALIDATIONS; METABOLOMICS; SENSITIVITY AND SPECIFICITY; VARIABLE SELECTION;

CLASSIFICATION (OF INFORMATION);

CHILD; CLASSIFICATION; HUMAN; INFANT; LIMIT OF DETECTION; MASS FRAGMENTOGRAPHY; METABOLISM; METABOLOMICS; PROCEDURES; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; STATISTICAL BIAS; TUBERCULOUS MENINGITIS;

BIAS (EPIDEMIOLOGY); CHILD; CLASSIFICATION; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; HUMANS; INFANT; LIMIT OF DETECTION; METABOLOMICS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; TUBERCULOSIS, MENINGEAL;

EID: 85011332663     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-017-1480-8     Document Type: Article

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