DawnRank: discovering personalized driver genes in cancer

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Bioengineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2017

Author dc:creator

• Hou, Jack Pu

Contributors dc:contributor

• Ma, Jian

• Computational Biology
• Detection
• Cancer
• Mutations

Statement dc:rights

• Copyright 2016 Jack Hou

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/95431

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/95431