PretiMeth: precise prediction models for DNA methylation based on single methylation mark.

ABSTRACT:

Background

The computational prediction of methylation levels at single CpG resolution is promising to explore the methylation levels of CpGs uncovered by existing array techniques, especially for the 450 K beadchip array data with huge reserves. General prediction models concentrate on improving the overall prediction accuracy for the bulk of CpG loci while neglecting whether each locus is precisely predicted. This leads to the limited application of the prediction results, especially when performing downstream analysis with high precision requirements.

Results

Here we reported PretiMeth, a method for constructing precise prediction models for each single CpG locus. PretiMeth used a logistic regression algorithm to build a prediction model for each interested locus. Only on

SUBMITTER: Tang J 

PROVIDER: S-EPMC7227319 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature