betaclust: a family of beta mixture models for beta-valued DNA methylation data
Introduction | Walk through | Prerequisites | Loading the data | Identifying methylation thresholds in a DNA sample | Summary statistics of the clustering solution | Plotting the information criterion values of all models | Thresholds objectively inferred from the clustering solution | Plotting the density estimates of the clustering solution | Plotting the uncertainties in the clustering solution | Identifying DMCs between R = 2 samples | AUC and WD metrics for finding similarities in the R cumulative distributions in each of the K clusters | Plotting the uncertainty in the clustering solution | Retrieving the most differentially methylated CpG sites | Plotting the empirical cumulative distribution function | References
Rendered fromvignettes.Rmdusingknitr::rmarkdown