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Volumn , Issue , 2009, Pages 451-463
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A bayesian integration model of high-throughput proteomics and metabolomics data for improved early detection of microbial infections
a
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Author keywords
[No Author keywords available]
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Indexed keywords
BAYESIAN APPROACHES;
BAYESIAN EVALUATION;
BAYESIAN INTEGRATION;
CLASS LEVEL;
CLASSIFICATION ACCURACY;
DATA SETS;
DATA TYPE;
GLOBAL SCALE;
HIGH-THROUGHPUT;
INTEGRATED DATA;
LIKELIHOOD FUNCTIONS;
METABOLOMES;
METABOLOMICS;
METABOLOMICS DATA;
MICROBIAL INFECTIONS;
MULTIPLE DATA SOURCES;
POSTERIOR PROBABILITY;
PROTEOMICS;
STATISTICAL LEARNING;
VISUAL INTEGRATION;
VISUALIZATION TOOLS;
BAYESIAN NETWORKS;
CLASSIFICATION (OF INFORMATION);
INTEGRATION;
LEARNING ALGORITHMS;
MOLECULAR BIOLOGY;
PROBABILITY;
DATA VISUALIZATION;
BIOLOGICAL MARKER;
ALGORITHM;
ANIMAL;
ARTICLE;
BACTERIAL GENE;
BAYES THEOREM;
BIOLOGICAL MODEL;
BIOMETRY;
C57BL MOUSE;
FRANCISELLA;
GENETICS;
GRAM NEGATIVE INFECTION;
INFECTION;
MALE;
MASS SPECTROMETRY;
METABOLISM;
METABOLOMICS;
METHODOLOGY;
MOUSE;
MUTATION;
NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY;
PATHOGENICITY;
PROTEOMICS;
PSEUDOMONAS INFECTION;
REGRESSION ANALYSIS;
STATISTICAL ANALYSIS;
STATISTICS;
TANDEM MASS SPECTROMETRY;
VIRULENCE;
ALGORITHMS;
ANIMALS;
BAYES THEOREM;
BIOLOGICAL MARKERS;
BIOMETRY;
DATA INTERPRETATION, STATISTICAL;
FRANCISELLA;
GENES, BACTERIAL;
GRAM-NEGATIVE BACTERIAL INFECTIONS;
INFECTION;
LEAST-SQUARES ANALYSIS;
MAGNETIC RESONANCE SPECTROSCOPY;
MALE;
METABOLOMICS;
MICE;
MICE, INBRED C57BL;
MODELS, BIOLOGICAL;
MUTATION;
PROTEOMICS;
PSEUDOMONAS INFECTIONS;
SPECTROMETRY, MASS, MATRIX-ASSISTED LASER DESORPTION-IONIZATION;
TANDEM MASS SPECTROMETRY;
VIRULENCE;
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EID: 61949377666
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (20)
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References (24)
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