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Automatic Extraction of Proteins and Their Interactions from Biological Text

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3735))

Abstract

Text mining techniques have been proposed for extracting protein names and their interactions from biological text. First, we have made improvements on existing methods for handling single word protein names consisting of characters, special symbols, and numbers. Second, compound word protein names are also extracted using conditional probabilities of the occurrences of neighboring words. Third, interactions are extracted based on Bayes theorem over discriminating verbs that represent the interactions of proteins. Experimental results demonstrate the feasibility of our approach with improved performance in terms of accuracy and F-measure, requiring significantly less amount of computational time.

This work was supported by grant No. R01-2004-000-10689-0 from the Basic Research Program of the Korea Science & Engineering Foundation.

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© 2005 Springer-Verlag Berlin Heidelberg

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Hong, K., Park, J., Yang, J., Paek, E. (2005). Automatic Extraction of Proteins and Their Interactions from Biological Text. In: Hoffmann, A., Motoda, H., Scheffer, T. (eds) Discovery Science. DS 2005. Lecture Notes in Computer Science(), vol 3735. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563983_27

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  • DOI: https://doi.org/10.1007/11563983_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29230-2

  • Online ISBN: 978-3-540-31698-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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