54 citations · 208 across the 29 of their papers we have counts for
8 papers · 1 filter
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…
Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model
Mengjie Chen, Zhao Ren, Hongyu Zhao +1
A tuning-free procedure is proposed to estimate the covariate-adjusted Gaussian graphical model. For each finite subgraph, this estimator is asymptotically normal and efficient. As…
Change Point Analysis of Histone Modifications Reveals Epigenetic Blocks Linking to Physical Domains
Mengjie Chen, Haifan Lin, Hongyu Zhao
Histone modification is a vital epigenetic mechanism for transcriptional control in eukaryotes. High-throughput techniques have enabled whole-genome analysis of histone modificatio…
Posterior Contraction Rates of the Phylogenetic Indian Buffet Processes
Mengjie Chen, Chao Gao, Hongyu Zhao
By expressing prior distributions as general stochastic processes, nonparametric Bayesian methods provide a flexible way to incorporate prior knowledge and constrain the latent str…
A Penalized Multi-trait Mixed Model for Association Mapping in Pedigree-based GWAS
Jin Liu, Can Yang, Xingjie Shi +4
In genome-wide association studies (GWAS), penalization is an important approach for identifying genetic markers associated with trait while mixed model is successful in accounting…
Improving genetic risk prediction by leveraging pleiotropy
Cong Li, Can Yang, Joel Gelernter +1
An important task of human genetics studies is to accurately predict disease risks in individuals based on genetic markers, which allows for identifying individuals at high disease…
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…