{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ayyala DN"],"funding":["NIGMS NIH HHS"],"pagination":["926-937"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5142008"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["17(6)"],"pubmed_abstract":["DNA methylation is a well-established epigenetic mark, whose pattern throughout the genome, especially in the promoter or CpG islands, may be modified in a cell at a disease stage. Recently developed probabilistic approaches allow distributing methylation signals at nucleotide resolution from MethylCap-seq data. Standard statistical methods for detecting differential methylation suffer from 'curse of dimensionality' and sparsity in signals, resulting in high false-positive rates. Strong correlation of signals between CG sites also yields spurious results. In this article, we review applicability of high-dimensional mean vector tests for detection of differentially methylated regions (DMRs) and compare and contrast such tests with other methods for detecting DMRs. Comprehensive simulation s"],"journal":["Briefings in bioinformatics"],"pubmed_title":["Statistical methods for detecting differentially methylated regions based on MethylCap-seq data."],"pmcid":["PMC5142008"],"funding_grant_id":["T32 GM068412"],"pubmed_authors":["Ayyala DN","Frankhouser DE","Bundschuh R","Lin S","Ganbat JO","Yan P","Marcucci G"],"additional_accession":[]},"is_claimable":false,"name":"Statistical methods for detecting differentially methylated regions based on MethylCap-seq data.","description":"DNA methylation is a well-established epigenetic mark, whose pattern throughout the genome, especially in the promoter or CpG islands, may be modified in a cell at a disease stage. Recently developed probabilistic approaches allow distributing methylation signals at nucleotide resolution from MethylCap-seq data. Standard statistical methods for detecting differential methylation suffer from 'curse of dimensionality' and sparsity in signals, resulting in high false-positive rates. Strong correlation of signals between CG sites also yields spurious results. In this article, we review applicability of high-dimensional mean vector tests for detection of differentially methylated regions (DMRs) and compare and contrast such tests with other methods for detecting DMRs. Comprehensive simulation s","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Nov","modification":"2025-04-21T20:19:52.467Z","creation":"2019-03-27T02:30:57Z"},"accession":"S-EPMC5142008","cross_references":{"pubmed":["26454095"],"doi":["10.1093/bib/bbv089"]}}