52 citations · 53 across the 3 of their papers we have counts for
4 papers
A Spatial Simulation Approach to Account for Protein Structure When Identifying Non-Random Somatic Mutations
Gregory Ryslik, Yuwei Cheng, Kei-Hoi Cheung +4
Background: Current research suggests that a small set of "driver" mutations are responsible for tumorigenesis while a larger body of "passenger" mutations occurs in the tumor but…
A Graph Theoretic Approach to Utilizing Protein Structure to Identify Non-Random Somatic Mutations
Gregory Ryslik, Yuwei Cheng, Kei-Hoi Cheung +2
Background: It is well known that the development of cancer is caused by the accumulation of somatic mutations within the genome. For oncogenes specifically, current research sugge…
Utilizing Protein Structure to Identify Non-Random Somatic Mutations
Gregory Ryslik, Yuwei Cheng, Kei-Hoi Cheung +2
Motivation: Human cancer is caused by the accumulation of somatic mutations in tumor suppressors and oncogenes within the genome. In the case of oncogenes, recent theory suggests t…
Analysis Of Cancer Omics Data In A Semantic Web Framework
Matt Holford, James McCusker, Kei Cheung +1
Our work concerns the elucidation of the cancer (epi)genome, transcriptome and proteome to better understand the complex interplay between a cancer cell's molecular state and its r…