Genome-Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in Human.

ABSTRACT: DNA methylation plays a significant role in transcriptional regulation by repressing activity. Change of the DNA methylation level is an important factor affecting the expression of target genes and downstream phenotypes. Because current experimental technologies can only assay a small proportion of CpG sites in the human genome, it is urgent to develop reliable computational models for predicting genome-wide DNA methylation. Here, we proposed a novel algorithm that accurately extracted sequence complexity features (seven features) and developed a support-vector-machine-based prediction model with integration of the reported DNA composition features (trinucleotide frequency and GC content, 65 features) by utilizing the methylation profiles of embryonic stem cells in human. The prediction r

SUBMITTER: Wu C 

PROVIDER: S-EPMC5343954 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature