2026-09-20T12:02:10Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/95431 2023-07-11 col_2142_5131 col_2142_5163 com_2142_5130 com_2142_5162 com_2142_234

Ma, Jian Hou, Jack Pu 2017-03-01T15:51:13Z 2017-03-01T15:51:13Z 2016-05-02 2016-12 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. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-02-28 without embargo terms The student, Jack Hou, accepted the attached license on 2016-03-15 at 08:50. The student, Jack Hou, submitted this Thesis for approval on 2016-03-15 at 09:29. This Thesis was approved for publication on 2016-05-02 at 15:11. DSpace SAF Submission Ingestion Package generated from Vireo submission #9104 on 2017-02-28 at 14:44:45 Made available in DSpace on 2017-03-01T15:51:13Z (GMT). No. of bitstreams: 2 HOU-THESIS-2016.pdf: 2018754 bytes, checksum: 46f7ebcca1cee17f3eec96e241f2f4e2 (MD5) LICENSE.txt: 4205 bytes, checksum: 0b9288456140cbe4ab08ef9393e95cf0 (MD5) Previous issue date: 2016-05-02 application/pdf http://hdl.handle.net/2142/95431 en Copyright 2016 Jack Hou Computational Biology Detection Cancer Mutations DawnRank: discovering personalized driver genes in cancer text text Bioengineering Bioengineering University of Illinois at Urbana-Champaign Thesis M.S.