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International Journal of Genomics
Volume 2017, Article ID 2354564, 13 pages
https://doi.org/10.1155/2017/2354564
Research Article

Characteristics and Validation Techniques for PCA-Based Gene-Expression Signatures

Department of Biostatistics and Bioinformatics, Division of Population Sciences, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA

Correspondence should be addressed to Anders E. Berglund; gro.ttiffom@dnulgreb.sredna

Received 27 September 2016; Revised 15 December 2016; Accepted 4 January 2017; Published 6 February 2017

Academic Editor: Bethany Wolf

Copyright © 2017 Anders E. Berglund 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.

Supplementary Material

Additional validation plots for all signatures and datasets presented in table 1.

  1. Supplementary Material