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Advances in Bioinformatics
Volume 2013 (2013), Article ID 618461, 8 pages
http://dx.doi.org/10.1155/2013/618461
Research Article

Identification of Robust Pathway Markers for Cancer through Rank-Based Pathway Activity Inference

Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843-3128, USA

Received 30 November 2012; Accepted 19 January 2013

Academic Editor: Hazem Nounou

Copyright © 2013 Navadon Khunlertgit and Byung-Jun Yoon. 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

The Supplementary Material contains figures related to the experimental results based on the USA and Belgium datasets normalized using different normalization methods. Figure S1 contains the discriminative power of pathway markers on the same dataset. Figures S2–S4 contains the discriminative power of pathway markers across different datasets. The classification results of within-dataset experiments are in Figure S5, and the classification results of cross-dataset experiments are in Figures S6 and S7.

  1. Supplementary Figures