… For the comparison of DNA methylation levels between … nucleotide resolution DNA-methylation
data for comparisons of … parameter, and several algorithms were developed to shrink the …

… age-associated DNA methylation differences in a way that the … libraries were then normalised
to 4 nM using Tris-HCL 10 mM… The unified genotyper algorithm was employed within GATK …

… DNA methylation is widely regarded as the most stable epigenetic … With regards to real data,
we used two experimental comparisons … Even though the BSmooth algorithm takes a similar …

… We demonstrate that classical machine learning algorithms can associate the DNA methylation
… We show results in two different cancer sites, glioma and renal cell carcinoma (RCC). …

… In this review, we describe different ways of analyzing DNA methylation and outline the …
techniques for gene-specific analysis of DNA methylation. Each of these techniques is limited in …

… We then trained the learning algorithm (SVM) to recognise the difference between T and B
cell leukaemias (from both patient samples and cell lines) and CD19 + B cells and CD4 + T …

… setting, the methylation differences come from the differences in mixing proportions …
reference-based algorithms that specifically designed for gene expression or DNA methylation data, …

… -CAN]”), which will compare the impact of DNA methylation analysis as a first-line versus a
… algorithms. As the EKD expands, the reference machine learning–derived algorithms that …

… This algorithm performs the clustering by a divisive (top-down) procedure, in which the …
Table 3 lists the genes that displayed a median CpG site methylation difference of 0.3 or greater …

… of genome-wide DNA methylation analysis of peripheral blood … of 14 syndromes using DNA
methylation data with full accuracy. … This study demonstrates that genomic DNA methylation …