Ontology highlight
ABSTRACT: Background and aims
DNA methylation patterns are highly rearranged in HCCs. However, diverse sources of variation are intermingled in cancer methylomes, precluding the precise characterization of underlying molecular mechanisms. We developed a computational framework (methylation signature analysis with independent component analysis [MethICA]) leveraging independent component analysis to disentangle the diverse processes contributing to DNA methylation changes in tumors.Approach and results
Applied to a collection of 738 HCCs, MethICA unraveled 13 stable methylation components preferentially active in specific chromatin states, sequence contexts, and replication timings. These included signatures of general processes associated with sex and age but also signatures related
SUBMITTER: Meunier L
PROVIDER: S-EPMC12452108 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature