Integrating prior knowledge in multiple testing under dependence with applications to detecting differential DNA methylation.

ABSTRACT: DNA methylation has emerged as an important hallmark of epigenetics. Numerous platforms including tiling arrays and next generation sequencing, and experimental protocols are available for profiling DNA methylation. Similar to other tiling array data, DNA methylation data shares the characteristics of inherent correlation structure among nearby probes. However, unlike gene expression or protein DNA binding data, the varying CpG density which gives rise to CpG island, shore and shelf definition provides exogenous information in detecting differential methylation. This article aims to introduce a robust testing and probe ranking procedure based on a nonhomogeneous hidden Markov model that incorporates the above-mentioned features for detecting differential methylation. We revisit the seminal

SUBMITTER: Kuan PF 

PROVIDER: S-EPMC3449228 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature