Title

Gene Pathway Text Mining and Visualization

Document Type

Book Chapter

Department

Information Systems and Technology (CGU)

Publication Date

2005

Disciplines

Computer Sciences | Databases and Information Systems

Abstract

Automatically extracting gene-pathway relations from medical research texts gives researchers access to the latest findings in a structured format. Such relations must be precise to be useful. We present two case studies of approaches used to automatically extract gene-pathway relations from text. Each technique has performed at or near the 90 percent precision level making them good candidates to perform the extraction task. In addition, we present a visualization system that uses XML to interface with the extracted gene-pathway relations. The user-selected relations are automatically presented in a network display, inspired by the pathway maps created by gene researchers manually. Future research involves identification of equivalent relations expressed differently by authors and identification of relations that contradict each other along with the inquiry of how this information is useful to researchers.

Rights Information

© 2005 Springer

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