论文标题
一种调查细菌代谢途径中调节控制电路的机器学习方法
A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways
论文作者
论文摘要
在这项工作中，描述了一种机器学习方法，用于识别途径内的多词代谢调节控制电路。因此，根据对这些电路的分析，根据其多词的鉴定，比其他途径更受调节的细菌代谢途径。这是密码子使用和蛋白质丰度与电路的交替的结果。在这项工作中，大肠杆菌的糖酵解及其多摩尼克电路特征以例子为例。
In this work, a machine learning approach for identifying the multi-omics metabolic regulatory control circuits inside the pathways is described. Therefore, the identification of bacterial metabolic pathways that are more regulated than others in term of their multi-omics follows from the analysis of these circuits . This is a consequence of the alternation of the omic values of codon usage and protein abundance along with the circuits. In this work, the E.Coli's Glycolysis and its multi-omic circuit features are shown as an example.
