Journal
TRENDS IN BIOTECHNOLOGY
Volume 24, Issue 12, Pages 571-579Publisher
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tibtech.2006.10.002
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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.
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