Self-Regulation of Information Complexes DNA in Hierarchy Networks of Shannon Entropy inside Living Cells

Nikolay E. Galich
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引用次数: 3

Abstract

Are analyzed varied experimental data on DNA fluorescence inside neutrophils and other aerobic cells in flow cytometry with nanometer spatial resolution, in the large populations of cells. Fluorescence distributions, for histograms various ranks r, define classes of Good and Bad information networks DNA for good and bad health of different people, in a very dense, fractal packing of information and entropy in networks of ‘exponentially small worlds’, at variation types of positive and negative stability for information distributions. In all cells exists invariance (homeostasis) for total Shannon entropy E=lnr in hierarchy networks entropy of any scales, for any rank r. Entropy's noises form signals for self-regulation of informational homeostasis. The main reconstructions of correlations and noises, for homeostasis support, at any states of health, occur in branching distributions of central moments in the most large-scale networks of entropy, for rank r <32.

活细胞内Shannon熵层次网络中信息复合物DNA的自我调节
本文分析了中性粒细胞和其他有氧细胞在纳米空间分辨率流式细胞术中的DNA荧光实验数据。荧光分布,对于不同等级的直方图r,定义了不同人健康状况良好和不良的信息网络DNA的类别,在“指数小世界”网络中,在信息和熵的非常密集的分形包装中,在信息分布的正稳定性和负稳定性的变化类型中。在所有细胞中,总香农熵E=lnr存在不变性(稳态),在任何尺度的层次网络中,熵的噪声构成信息稳态自我调节的信号。在任何健康状态下,为了支持稳态,相关性和噪声的主要重建发生在最大规模熵网络中中心矩的分支分布中,对于秩r <32。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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