Titlebook: Correlation-based network analysis of cancer metabolism; A new systems biolog Emily G. Armitage,Helen L. Kotze,Kaye J. Williams Book 2014 T

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Network-Based Correlation Analysis of Metabolic Fingerprinting Data,ogy for describing causality in biological systems. Ever since the 1920s, causation has been connected with correlation in this way. The underlying mechanisms in biological processes are shadowed in correlations that when analysed can reveal connections in biological data that provide a starting point to realise underlying biological processes.

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Emily G. Armitage,Helen L. Kotze,Kaye J. WilliamsThis book presents a pioneering technique for analyzing metabolites.Explores the metabolome as the closest entity to the phenotype of a biological system.A useful tool for introducing metabolomics to

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SpringerBriefs in Systems Biologyhttp://image.papertrans.cn/c/image/238773.jpg

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An Overview of Cancer Metabolism,ch as the proteome, transcriptome and genome. For many diseases including cancer, studying the metabolome enables us to gain a better understanding of global biological response of cancer cells in the progression of the disease. Revealing the complexity of the metabolome is particularly advantageous

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Metabolic Fingerprinting of , Cancer Cell Samples,s a holistic and data-driven study of the low molecular weight metabolites present in biological systems (Dunn, Phys Biol 5(1):11001, 2008). The metabolome consists of endogenous and exogenous components: those catabolised or anabolised by the cell or organism itself, or those that are extra-organis

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Network-Based Correlation Analysis of Metabolic Fingerprinting Data,ogy for describing causality in biological systems. Ever since the 1920s, causation has been connected with correlation in this way. The underlying mechanisms in biological processes are shadowed in correlations that when analysed can reveal connections in biological data that provide a starting poi

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Case Study: Systems Biology of HIF Metabolism in Cancer,07(6):1053–1062, 2009), thus they play a critical role in tumour survival and defence against eradication. Our knowledge and understanding of the mechanisms of HIFs have started to illustrate great scope in designing and screening of new anticancer therapies (Ruan et al. J Cell Biochem 107(6):1053–1

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