… differences between the specific groups (such as cases and controls), such as probe-wise
or locus-specific methylation differences; the two terminologies are therefore equivalent when …

… We aimed to compare the highly contributing CpGs to age predictions using MethylNet and
… a KMeans clustering algorithm on a UMAP clustering of CpG Methylation profiles. Each …

… our understanding of DNA methylation and provided new insights … fields-based algorithm to
predict DNA methylation levels at … M&M identifies DMRs by computing a probability score for …

… tools differ in the underlying algorithms and the … algorithms and training data [79,80]. Similarly
to the principles of base modification detection in PacBio, when no pre-trained algorithms …

… Since the number of samples in different age classes was different, we ran a 100-fold
under-sampling to avoid the bias of classification towards classes with more samples. In under-…

… However, it is important to be cautious while using these approaches as these algorithms can
… resolving intermediate methylation or small methylation differences between two samples. …

… DNA methylation levels in populations of cells. Recent technological advances have enabled
profiling DNA methylation at … c, d The trained DeepCpG model can be used for different …

… was excluded because no algorithm exists that could accurately infer quantitative DNA …
premixed nucleotide triphosphates (1 mM dGTP, 10 mM dATP, 1 mM 5′ methylated dCTP). The …

… the array design algorithm Citation[39]. By using the CHARM assay to detect genome-wide …
In addition to demonstrating methylation differences related to cellular transformation, their …