4 papers
mmcmcBayes:An R Package Implementing a Multistage MCMC Framework for Detecting the Differentially Methylated Regions
Zhexuan Yang, Duchwan Ryu, Feng Luan
Identifying differentially methylated regions is an important task in epigenome-wide association studies, where differential signals often arise across groups of neighboring CpG si…
Bayesian Functional Data Analysis over Dependent Regions and Its Application for Identification of Differentially Methylated Regions
Suvo Chatterjee, Shrabanti Chowdhury, Duchwan Ryu +1
We consider a Bayesian functional data analysis for observations measured as extremely long sequences. Splitting the sequence into a number of small windows with manageable length,…
Variable Selection with Random Survival Forest and Bayesian Additive Regression Tree for Survival Data
Satabdi Saha, Duchwan Ryu, Nader Ebrahimi
In this paper we utilize a survival analysis methodology incorporating Bayesian additive regression trees to account for nonlinear and additive covariate effects. We compare the pe…
Generalized Integrated Functional Test for Regional Methylation Rates
Duchwan Ryu, Hongyan Xu, Varghese George +4
Motivation: Methods are needed to test pre-defined genomic regions such as promoters for differential methylation in genome-wide association studies, where the number of samples is…