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Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors

机译:可靠地检测和验证线性关系以使用技术错误估计值生成代谢网络

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摘要

BackgroundThe size and magnitude of the metabolome, the ratio between individual metabolites and the response of metabolic networks is controlled by multiple cellular factors. A tight control over metabolite ratios will be reflected by a linear relationship of pairs of metabolite due to the flexibility of metabolic pathways. Hence, unbiased detection and validation of linear metabolic variance can be interpreted in terms of biological control. For robust analyses, criteria for rejecting or accepting linearities need to be developed despite technical measurement errors. The entirety of all pair wise linear metabolic relationships then yields insights into the network of cellular regulation.
机译:背景代谢组的大小和大小,单个代谢物之间的比例以及代谢网络的反应受多种细胞因子控制。由于代谢途径的灵活性,代谢物对之间的线性关系将反映出对代谢物比率的严格控制。因此,可以根据生物学控制来解释线性代谢方差的无偏检测和验证。为了进行可靠的分析,尽管存在技术测量错误,仍需要制定拒绝或接受线性的标准。然后,所有成对线性代谢关系的整体都会产生对细胞调节网络的见解。

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