DawnRank: discovering personalized driver genes in cancer
Hou, Jack Pu
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https://hdl.handle.net/2142/95431
Description
Title
DawnRank: discovering personalized driver genes in cancer
Author(s)
Hou, Jack Pu
Issue Date
2016-05-02
Director of Research (if dissertation) or Advisor (if thesis)
Ma, Jian
Department of Study
Bioengineering
Discipline
Bioengineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Computational Biology
Detection
Cancer
Mutations
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 tumour heterogeneity.
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