52 citations · 54 across the 4 of their papers we have counts for
4 papers
Supervised Kernel PCA For Longitudinal Data
Patrick Staples, Min Ouyang, Robert F. Dougherty +2
In statistical learning, high covariate dimensionality poses challenges for robust prediction and inference. To address this challenge, supervised dimension reduction is often perf…
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…