Citation | Installation | Background | Input Data | Reference panel | Fit the Bayesian Model | Input with a BAM file | Input with read counts | Checking model outputs | Cell type proportions | Fitted relationship between fractional methylation and MeDIP-seq counts | Conclusion | Session Info | References

Citation | Installation | Background | Input data | On the note of pre-processing | Process individual-cell read files | Load example data | Filter out low-cell-coverage sites | Detect variably methylated regions (VMR) | Brief intro on the vmrseq method | On the note of computational time | Run vmrseq method | Method output | Compute region-level methylation | Downstream analysis | Session info

Quick start | How to get help for dmrseq | Input data | Why counts instead of methylation proportions? | How many samples do I need? | Bismark input | Count matrix input | Sample metadata | Smoothing | Filtering CpGs and samples | Adjusting for covariates | Differentially Methylated Regions | Output of dmrseq | Steps of the dmrseq method | Detecting large-scale methylation blocks | Exploring and exporting results | Explore how many regions were significant | Hypo- or Hyper- methylation? | Plot DMRs | Plot distribution of methylation values and coverage | Exporting results to CSV files | Extract raw mean methylation differences | Simulating DMRs | Session info | References

1 Background | 2 Identify and Classify DD genes | 3 Alternate test for Differential Distributions | 4 Simulation | 5 Formatting and Preprocessing | 6 Plotting | 7 Session Info