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Computational and Mathematical Methods in Medicine
Volume 2012 (2012), Article ID 135780, 4 pages
http://dx.doi.org/10.1155/2012/135780
Research Article

Biomarker Identification Using Text Mining

Department of Systems and Computer Science, Howard University, Washington, DC 20059, USA

Received 9 September 2012; Accepted 4 October 2012

Academic Editor: Xumin Liu

Copyright © 2012 Hui Li and Chunmei Liu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database.