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DNA methylation outliers in normal breast tissue identify field defects that are enriched in cancer, , , , , , , и . Nature Communications, (января 2016)Epigenetic variability in cells of normal cytology is associated with the risk of future morphological transformation, , , , , , и . Genome Medicine, (2012)Accounting for differential variability in detecting differentially methylated regions., , , и . Briefings Bioinform., 20 (1): 47-57 (2019)The Dynamics of DNA Methylation Covariation Patterns in Carcinogenesis., , , , , , и . PLoS Comput. Biol., (2014)Towards an Electronic Health Prevention Record Based on HL7 FHIR and the OMOP Common Data Model., , , , , , , , , и 6 other автор(ы). dHealth, том 313 из Studies in Health Technology and Informatics, стр. 107-112. IOS Press, (2024)Stochastic epigenetic outliers can define field defects in cancer., , и . BMC Bioinform., (2016)A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platform., , и . BMC Bioinform., (2012)A systems-level integrative framework from genome-wide DNA methylation and gene expression data identifies differential gene expression modules under epigenetic control, , и . Bioinformatics, 30 (16): 2360-2366 (мая 2014)A systems-level integrative framework for genome-wide DNA methylation and gene expression data identifies differential gene expression modules under epigenetic control., , и . Bioinform., 30 (16): 2360-2366 (2014)Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies., , и . Bioinform., 27 (11): 1496-1505 (2011)