a differential network approach to exploring differences between biological states an application to prediabetes微分网络方法探索生物状态应用程序前驱糖尿病之间的区别.pdfVIP

a differential network approach to exploring differences between biological states an application to prediabetes微分网络方法探索生物状态应用程序前驱糖尿病之间的区别.pdf

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a differential network approach to exploring differences between biological states an application to prediabetes微分网络方法探索生物状态应用程序前驱糖尿病之间的区别

A Differential Network Approach to Exploring Differences between Biological States: An Application to Prediabetes ´ 1 ¨ 1,2 3 1,2 2 Beatriz Valcarcel , Peter Wurtz , Nafisa-Katrin Seich al Basatena , Taru Tukiainen , Antti J. Kangas , 2,4 ¨ 1,5,6 2,4,7 8 1 Pasi Soininen , Marjo-Riitta Jarvelin , Mika Ala-Korpela , Timothy M. Ebbels *, Maria de Iorio * 1 Epidemiology and Biostatistics, Imperial College London, London, United Kingdom, 2 Computational Medicine, Institute of Clinical Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland, 3 Department of Immunology, Imperial College London, London, United Kingdom, 4 NMR Metabonomics Laboratory, Department of Biosciences, University of Eastern Finland, Kuopio, Finland, 5 Department of Child and Adolescent Health, National Institute of Health and Wellbeing, Oulu, Finland, 6 Institute of Health Sciences and Biocenter Oulu, University of Oulu, Oulu, Finland, 7 Department of Internal Medicine, Clinical Research Center, University of Oulu, Oulu, Finland, 8 Biomolecular Medicine, Department of Surgery and Cancer, Imperial College London, London, United Kingdom Abstract Background: Variations in the pattern of molecular associations are observed during disease development. The comprehensive analysis of molecular association patterns and their changes in relation to different physiological conditions can yield insight into the biological basis of disease-specific phenotype variation. Methodology

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