An integrative multi-omics approach to characterize interactions between tuberculosis and diabetes mellitus

An integrative multi-omics approach to characterize interactions between tuberculosis and diabetes mellitus

Summary: Tuberculosis-diabetes mellitus (TB-DM) is linked to a distinct inflammatory profile, which can be assessed using multi-omics analyses. Here, a machine learning algorithm was applied to multi-platform data, including cytokines and gene expression in peripheral blood and eicosanoids in urine,...

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Bibliographic Details
Main Authors: Caian L. Vinhaes, Eduardo R. Fukutani, Gabriel C. Santana, María B. Arriaga, Beatriz Barreto-Duarte, Mariana Araújo-Pereira, Mateus Maggiti-Bezerril, Alice M.S. Andrade, Marina C. Figueiredo, Ginger L. Milne, Valeria C. Rolla, Afrânio L. Kristki, Marcelo Cordeiro-Santos, Timothy R. Sterling, Bruno B. Andrade, Artur T.L. Queiroz
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:iScience
Subjects:
Bioinformatics
Biological sciences
Health sciences
Internal medicine
Medical informatics
Medical specialty
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224003560

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http://www.sciencedirect.com/science/article/pii/S2589004224003560

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