标题： DNA-RNA转录系统中的陈-西蒙斯流 显示英文标题

标题： The Chern-Simons current in systems of DNA-RNA transcriptions

摘要： 从超对称理论的鬼场和反鬼场中产生的陈-西蒙斯电流，可以用来在新的时间序列数据中定义基因表达谱，其中采用旋量场作为基因的替代表示，而不是使用标准的碱基序列$A, T, C, G, U$。 在对超对称在生物系统中的应用进行一般性讨论后，我们给出了超对称在生物体中的应用示例，讨论了密码子和反密码子的鬼场，并为垃圾DNA（在生物系统中似乎不活跃的DNA区域）开发了一种代数构造。 作为一个一般性结果，所有密码子的隐藏状态都可以通过陈-西蒙斯3形式计算得出。 最后，我们通过使用与陈-西蒙斯电流相关的基因张量相关网络，绘制了病毒包膜蛋白基因和宿主T细胞受体基因的遗传变异时间序列。 通过使用基于陈-西蒙斯电流经验模态分解得到的时间序列数据的张量相关图，获得了宿主细胞受体基因中基因簇分离和病毒基因中遗传漂变的遗传漂移经验分析。 显示英文摘要

摘要： A Chern-Simons current, coming from ghost and anti-ghost fields of supersymmetry theory, can be used to define a spectrum of gene expression in new time series data where a spinor field, as alternative representation of a gene, is adopted instead of using the standard alphabet sequence of bases $A, T, C, G, U$. After a general discussion on the use of supersymmetry in biological systems, we give examples of the use of supersymmetry for living organism, discuss the codon and anti-codon ghost fields and develop an algebraic construction for the trash DNA, the DNA area which does not seem active in biological systems. As a general result, all hidden states of codon can be computed by Chern-Simons 3 forms. Finally, we plot a time series of genetic variations of viral glycoprotein gene and host T-cell receptor gene by using a gene tensor correlation network related to the Chern-Simons current. An empirical analysis of genetic shift, in host cell receptor genes with separated cluster of gene and genetic drift in viral gene, is obtained by using a tensor correlation plot over time series data derived as the empirical mode decomposition of Chern-Simons current.