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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主要な著者: 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.
フォーマット: Artigo
言語:Inglês
出版事項: 2009
主題:
Article
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4137860/
https://ncbi.nlm.nih.gov/pubmed/19209722
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