Article
Patient-specific driver gene prediction and risk assessment through integrated network analysis of cancer omics profiles.
Nucleic acids research - 20 Apr 2015
Bertrand Denis, Chng Kern Rei, Sherbaf Faranak Ghazi, Kiesel Anja, Chia Burton K H, Sia Yee Yen, Huang Sharon K, Hoon Dave S B, Liu Edison T, Hillmer Axel, Nagarajan Niranjan
Abstract excerpt
Extensive and multi-dimensional data sets generated from recent cancer omics profiling projects have presented new challenges and opportunities for unraveling the complexity of cancer genome landscapes. In particular, distinguishing the unique complement of genes that drive tumorigenesis in each patient from a sea of passenger mutations is necessary for translating the full benefit of cancer genome sequencing...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.