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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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.
Format: Artigo
Jezik:Inglês
Izdano: 2009
Teme:
Article
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4137860/
https://ncbi.nlm.nih.gov/pubmed/19209722
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