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作为一种研究范式，系统生物学通常被认为与所谓的还原论范式(生物组织)相对立，尽管它完全符合科学方法。这些语录中提到了两种范式之间的区别: “还原论方法成功地确定了大多数组成部分和许多相互作用，但不幸的是，没有提供令人信服的概念或方法来理解系统特性是如何出现的... 生物网络中因果关系的多元性最好通过多个组分同时进行定量测量，以及与数学模型进行严格的数据整合来解决。”(Sauer 等人)“系统生物学...是关于合并而不是分解，是关于整合而不是简化。它要求我们发展出与我们的还原论方法一样严谨但不同的整合思维方式...这意味着彻底改变我们的哲学。”(丹尼斯 · 诺贝尔)
作为一种研究范式，系统生物学通常被认为与所谓的还原论范式(生物组织)相对立，尽管它完全符合科学方法。这些语录中提到了两种范式之间的区别: “还原论方法成功地确定了大多数组成部分和许多相互作用，但不幸的是，没有提供令人信服的概念或方法来理解系统特性是如何出现的... 生物网络中因果关系的多元性最好通过多个组分同时进行定量测量，以及与数学模型进行严格的数据整合来解决。”(Sauer 等人)“系统生物学...是关于合并而不是分解，是关于整合而不是简化。它要求我们发展出与我们的还原论方法一样严谨但不同的整合思维方式...这意味着彻底改变我们的哲学。”(丹尼斯 · 诺贝尔)
--[[用户:CecileLi|CecileLi]]([[用户讨论:CecileLi|讨论]]) 【审校】“生物网络中因果关系的多元性最好通过多个组分同时进行定量测量，以及与数学模型进行严格的数据整合来解决。”一句中的“通过多个组分同时进行定量测量”改为“通过观察多个分组同时进行的定量实验”
As a series of operational [[protocol (natural sciences)|protocol]]s used for performing research, namely a cycle composed of theory, [[Mathematical model|analytic]] or [[computational model]]ling to propose specific testable hypotheses about a biological system, experimental validation, and then using the newly acquired quantitative description of cells or cell processes to refine the computational model or theory.<ref name="kholodenko05" /> Since the objective is a model of the interactions in a system, the experimental techniques that most suit systems biology are those that are system-wide and attempt to be as complete as possible. Therefore, [[transcriptomics]], [[metabolomics]], [[proteomics]] and [[High-throughput screening|high-throughput techniques]] are used to collect quantitative data for the construction and validation of models.<ref name=Romualdi09 />
As a series of operational [[protocol (natural sciences)|protocol]]s used for performing research, namely a cycle composed of theory, [[Mathematical model|analytic]] or [[computational model]]ling to propose specific testable hypotheses about a biological system, experimental validation, and then using the newly acquired quantitative description of cells or cell processes to refine the computational model or theory.<ref name="kholodenko05" /> Since the objective is a model of the interactions in a system, the experimental techniques that most suit systems biology are those that are system-wide and attempt to be as complete as possible. Therefore, [[transcriptomics]], [[metabolomics]], [[proteomics]] and [[High-throughput screening|high-throughput techniques]] are used to collect quantitative data for the construction and validation of models.<ref name=Romualdi09 />