A BAYESIAN INTEGRATION MODEL OF HIGH-THROUGHPUT PROTEOMICS AND METABOLOMICS DATA FOR IMPROVED EARLY DETECTION OF MICROBIAL INFECTIONS

High-throughput (HTP) technologies offer the capability to evaluate the genome, proteome, and metabolome of an organism at a global scale. This opens up new opportunities to define complex signatures of disease that involve signals from multiple types of biomolecules. However, integrating these data...

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Detalhes bibliográficos
Main Authors: WEBB-ROBERTSON, BOBBIE-JO M., MCCUE, LEE ANN, BEAGLEY, NATHANIAL, MCDERMOTT, JASON E., WUNSCHEL, DAVID S., VARNUM, SUSAN M., HU, JIAN ZHI, ISERN, NANCY G., BUCHKO, GARRY W., MCATEER, KATHLEEN, POUNDS, JOEL G., SKERRETT, SHAWN J., LIGGITT, DENNY, FREVERT, CHARLES W.
Formato: Artigo
Idioma:Inglês
Publicado em: 2009
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4137860/
https://ncbi.nlm.nih.gov/pubmed/19209722
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