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Using Text Mining for Understanding Insulin Signalling

Moustafa Ghanem, Jonathan Ratcliffe, Vasa Curcin, Xinzhong Li, Roger Tattoud, James Scott, Yike Guo

Conference or Workshop Paper
4th UK e-Science All Hands Meeting 2005
September, 2005
ISBN 1-904425-53-4

In this paper we describe our efforts and experience in using a mix of e-Science and text mining technologies in the context of large scale integrative biology studies. Using insulin signaling as an application framework, we describe the service-based text mining infrastructure used for the project and present a number of text mining workflows for performing a number of common tasks encountered in integrative biology studies, including document categorization, and literature-based methods for the identification of gene-tissue interactions, for performing automated gene differentiation and scoring, and for automatically labeling gene groups.

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