Detection of epigenetic changes using ANOVA with spatially varying coefficients.

ABSTRACT: Identification of genome-wide epigenetic changes, the stable changes in gene function without a change in DNA sequence, under various conditions plays an important role in biomedical research. High-throughput epigenetic experiments are useful tools to measure genome-wide epigenetic changes, but the measured intensity levels from these high-resolution genome-wide epigenetic profiling data are often spatially correlated with high noise levels. In addition, it is challenging to detect genome-wide epigenetic changes across multiple conditions, so efficient statistical methodology development is needed for this purpose. In this study, we consider ANOVA models with spatially varying coefficients, combined with a hierarchical Bayesian approach, to explicitly model spatial correlation caused by lo

SUBMITTER: Guanghua X 

PROVIDER: S-EPMC4866591 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature