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The Scientific World Journal
Volume 2012, Article ID 380495, 11 pages
Research Article

Gene Expression Profiles for Predicting Metastasis in Breast Cancer: A Cross-Study Comparison of Classification Methods

1Research Unit of Human Genetics, Institute of Clinical Research, University of Southern Denmark, Sdr. Boulevard 29, 5000 Odense C, Denmark
2Department of Clinical Genetics, Odense University Hospital, Sdr. Boulevard 29, 5000 Odense C, Denmark
3Institute of Public Health, University of Southern Denmark, J. B. Winsløws Vej 9B, 5000 Odense C, Denmark

Received 25 August 2012; Accepted 2 October 2012

Academic Editors: M. A. Kon and K. Najarian

Copyright © 2012 Mark Burton et al. 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 [6 citations]

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

  • D. Urda, R. M. Luque-Baena, L. Franco, J. M. Jerez, and Noelia Sanchez-Marono, “Machine learning models to search relevant genetic signatures in clinical context,” 2017 International Joint Conference on Neural Networks (IJCNN), pp. 1649–1656, . View at Publisher · View at Google Scholar
  • J. M. Andrade-Garda, J. R. Rabunal, J. Dorado, A. Pazos, C. Fernandez-Lozano, C. Canto, and M. Gestal, “Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification,” Scientific World Journal, 2013. View at Publisher · View at Google Scholar
  • C. Thomas Caskey, Manuel L. Gonzalez-Garay, Stacey Pereira, and Amy L. McGuire, “Adult Genetic Risk Screening,” Annual Review of Medicine, vol. 65, no. 1, pp. 1–17, 2014. View at Publisher · View at Google Scholar
  • Kristina P Sørensen, Mads Thomassen, Qihua Tan, Martin Bak, Søren Cold, Mark Burton, Martin J Larsen, and Torben A Kruse, “Long non-coding RNA expression profiles predict metastasis in lymph node-negative breast cancer independently of traditional prognostic markers,” Breast Cancer Research, vol. 17, no. 1, 2015. View at Publisher · View at Google Scholar
  • Ahmed Fawzi Otoom, Emad E. Abdallah, and Maen Hammad, “Breast cancer classification: Comparative performance analysis of image shape-based features and microarray gene expression data,” International Journal of Bio-Science and Bio-Technology, vol. 7, no. 2, pp. 37–46, 2015. View at Publisher · View at Google Scholar
  • Surendar, “Multi dimension protein impact matrix based protein sequence prediction using data mining,” International Journal of Pharmaceutical Sciences and Research, vol. 8, no. 2, pp. 427–434, 2017. View at Publisher · View at Google Scholar