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Text mining and its potential applications in systems biology

机译:文本挖掘及其在系统生物学中的潜在应用

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摘要

With biomedical literature increasing at a rate of several thousand papers per week,it is impossible to keep abreast of all developments;therefore,automated means to manage the information overload are required.Text mining techniques,which involve the processes of information retrieval,information extraction and data mining,provide a means of solving this.By adding meaning to text,these techniques produce a more structured analysis of textual knowledge than simple word searches,and can provide powerful tools for the production and analysis of systems biology models.
机译:随着生物医学文献以每周几千篇的速度增长,不可能跟上所有的发展;因此,需要自动化的方法来管理信息超载。文本挖掘技术,涉及信息检索,信息提取的过程通过为文本添加含义,这些技术比简单的单词搜索可以对文本知识进行更结构化的分析,并且可以为系统生物学模型的产生和分析提供强大的工具。

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