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Event extraction for systems biology by text mining the literature

Paper ID Volume ID Publish Year Pages File Format Full-Text
37219 45324 2010 10 PDF Available
Title
Event extraction for systems biology by text mining the literature
Abstract

Systems biology recognizes in particular the importance of interactions between biological components and the consequences of these interactions. Such interactions and their downstream effects are known as events. To computationally mine the literature for such events, text mining methods that can detect, extract and annotate them are required. This review summarizes the methods that are currently available, with a specific focus on protein–protein interactions and pathway or network reconstruction. The approaches described will be of considerable value in associating particular pathways and their components with higher-order physiological properties, including disease states.

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Event extraction for systems biology by text mining the literature
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Publisher
Database: Elsevier - ScienceDirect
Journal: - Volume 28, Issue 7, July 2010, Pages 381–390
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us