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Genome Med. 2014 Jul 31;6(7):56. doi: 10.1186/s13073-014-0056-8. eCollection 2014.

DawnRank: discovering personalized driver genes in cancer.

Author information

1
Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL USA ; Medical Scholars Program, University of Illinois at Urbana-Champaign, Urbana, IL USA.
2
Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL USA ; Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL USA.

Abstract

Large-scale cancer genomic studies have revealed that the genetic heterogeneity of the same type of cancer is greater than previously thought. A key question in cancer genomics is the identification of driver genes. Although existing methods have identified many common drivers, it remains challenging to predict personalized drivers to assess rare and even patient-specific mutations. We developed a new algorithm called DawnRank to directly prioritize altered genes on a single patient level. Applications to TCGA datasets demonstrated the effectiveness of our method. We believe DawnRank complements existing driver identification methods and will help us discover personalized causal mutations that would otherwise be obscured by tumor heterogeneity. Source code can be accessed at http://bioen-compbio.bioen.illinois.edu/DawnRank/.

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