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Title: Text mining applied to biological texts: beyond the extraction of protein-protein interactions
Author: Graillet, Olivia E. Sanchez
ISNI:       0000 0001 3510 7201
Awarding Body: University of Essex
Current Institution: The University of Essex pre-October 2008
Date of Award: 2007
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Biologists exchange findings through an ever increasing number of on-line journal articles. Thus, tools that help to discover information in the extensive biological literature are desirable. This has led to increasing interest in text mining techniques. Protein interactions are of great importance in many biological processes, and therefore of great interest to biologists. The majority of the existent text mining approaches ~oncentrate on the extraction of positive protein interactions from the literature. However, it is also useful to know if a given set of proteins reportedly does not interact. Such additional information may, for instance, help biologists to avoid redundant experiments.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available