A novel nonparametric computational strategy for identifying differential methylation regions.

ABSTRACT:

Background

DNA methylation has long been known as an epigenetic gene silencing mechanism. For a motivating example, the methylomes of cancer and non-cancer cells show a number of methylation differences, indicating that certain features characteristics of cancer cells may be related to methylation characteristics. Robust methods for detecting differentially methylated regions (DMRs) could help scientists narrow down genome regions and even find biologically important regions. Although some statistical methods were developed for detecting DMR, there is no default or strongest method. Fisher's exact test is direct, but not suitable for data with multiple replications, while regression-based methods usually come with a large number of assumptions. More complicated methods have been pr

SUBMITTER: Sun X 

PROVIDER: S-EPMC8750844 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature