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Computational and Mathematical Methods in Medicine
Volume 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.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Ting Liu, Lin Xie, Jian Ye, and Xiangge He, “Family-based analysis identified CD2 as a susceptibility gene for primary open angle glaucoma in Chinese Han population,” Journal of Cellular and Molecular Medicine, 2014. View at Publisher · View at Google Scholar
  • À. Bravo, M. Cases, N. Queralt-Rosinach, F. Sanz, and L. I. Furlong, “A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature,” BioMed Research International, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • Rick Jordan, Shyam Visweswaran, and Vanathi Gopalakrishnan, “Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids,” Journal of Clinical Bioinformatics, vol. 4, no. 1, 2014. View at Publisher · View at Google Scholar
  • Wilco W.M. Fleuren, and Wynand Alkema, “Application of text mining in the biomedical domain,” Methods, 2015. View at Publisher · View at Google Scholar
  • Vanessa Aguiar-Pulido, Victoria Suarez-Ulloa, Jose M. Eirin-Lopez, Javier Pereira, and Giri Narasimhan, “Computational Methods in Epigenetics,” Personalized Epigenetics, pp. 153–180, 2015. View at Publisher · View at Google Scholar