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BioMed Research International
Volume 2015, Article ID 491502, 9 pages
http://dx.doi.org/10.1155/2015/491502
Research Article

Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations

1Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
2School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
3Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN 37212, USA
4Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA

Received 21 October 2014; Revised 5 February 2015; Accepted 19 February 2015

Academic Editor: Federico Ambrogi

Copyright © 2015 Yukun Chen 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 [2 citations]

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

  • Shilpi Shandilya, and Chaitali Chandankhede, “Survey on recent cancer classification systems for cancer diagnosis,” 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 2590–2594, . View at Publisher · View at Google Scholar
  • Xiaofeng Lu, Xiaodong Wang, Ning Zhong, Mi Li, and Shengfu Lu, “Biomedical classification application and parameters optimization of mixed kernel SVM based on the information entropy particle swarm optimization,” Computer Assisted Surgery, vol. 21, pp. 133–142, 2016. View at Publisher · View at Google Scholar