Automation of Biological Model Learning, Design and Analysis

Nataša Miškov-Živanov
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引用次数: 8

Abstract

Although there have been several recent attempts to automate steps of the process of model development and analysis in cell signaling networks, closing the overall cycle between information extraction, model assembly and analysis, and design of questions to guide new information search and experiments still requires a significant amount of human intervention. In this paper, we give an overview of challenges in this process, and outline our approaches to tackle these challenges.
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生物模型学习、设计与分析的自动化
尽管最近有几次尝试将细胞信号网络中模型开发和分析过程的步骤自动化,但关闭信息提取,模型组装和分析以及指导新信息搜索和实验的问题设计之间的整个循环仍然需要大量的人为干预。在本文中,我们概述了这一过程中的挑战,并概述了我们应对这些挑战的方法。
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