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Integrative data mining in systems biology: from text to network mining

机译:系统生物学中的集成数据挖掘:从文本到网络挖掘

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Systems biology is a new field that aims to gain system-level understanding of complex functions of biological systems and biological processes, ranging from molecules to cells, tissues, or entire organisms. From the systems science point of view, many important properties of a complex system emerge from the interaction of system components and, therefore, rather than investigating the characteristics of isolated system parts separately, systems biologists focus on discovering emergent properties and functions that do not appear in individual components, but are driven by the interactions among all the system components or component groups .rnA general framework of systems biology can be described by three main steps: (1) identifying elements/components of the system; (2) describing the system using connective networks, in which nodes represent the system components and edges represent interactions between nodes. The network describes the functional relationship among the system components, and the interactions ultimately determine an organism's behavior and functions; (3) gaining insights into emergent properties of biological systems by means of analyzing structural properties and dynamics of the network.
机译:系统生物学是一个新兴领域,旨在对生物系统和生物过程的复杂功能(从分子到细胞,组织或整个生物)进行系统级的理解。从系统科学的角度来看,复杂系统的许多重要属性是通过系统组件之间的相互作用而出现的,因此,系统生物学家专注于发现未出现的新出现的特性和功能,而不是分别研究孤立的系统部件的特性。系统生物学的总体框架可以通过三个主要步骤来描述:(1)识别系统的元素/组件;在单个组件中,它们是由所有系统组件或组件组之间的相互作用所驱动的。 (2)使用连接网络描述系统,其中节点代表系统组件,边缘代表节点之间的交互。网络描述了系统组件之间的功能关系,相互作用最终决定了生物体的行为和功能。 (3)通过分析网络的结构特性和动力学来了解生物系统的新兴特性。

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