DawnRank: discovering personalized driver genes in cancer

Computational Biology;Detection;Cancer;Mutations

Hou, Jack Pu ; Ma ; Jian

关键词: Computational Biology;    Detection;    Cancer;    Mutations;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/95431/HOU-THESIS-2016.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

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.