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Advances in Bioinformatics
Volume 2012 (2012), Article ID 373506, 13 pages
http://dx.doi.org/10.1155/2012/373506
Research Article

Detecting Cancer Outlier Genes with Potential Rearrangement Using Gene Expression Data and Biological Networks

1Department of Computer Science, University of Calgary, Calgary, AB, Canada T2N 1N4
2Departments of Pathology, Oncology and Molecular Biology and Biochemistry, Faculty of Medicine, University of Calgary, Calgary, AB, Canada T2N 1N4

Received 5 March 2012; Revised 30 April 2012; Accepted 8 May 2012

Academic Editor: T. Akutsu

Copyright © 2012 Mohammed Alshalalfa 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

The supplementary material file contains detailed description of the biological data sets used in this work including gene expression and biological networks. It also includes detailed description of the existing methods for outlier gene detection. We covered most of the tools we are aware of that deals with this problem and compared our proposed tool (EigFusion) with all the described methods in this supplementary file (COPA, OS, ORT, GTI). The file also includes supplementary figures that we did not include in the main manuscript.

  1. Supplementary Material