Computing Publications

Publications Home » Using Text Mining for Understandi...

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
Abstract

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.

BibTEX file for the publication
 

pubs.doc.ic.ac.uk: built & maintained by Ashok Argent-Katwala.