vmrseq

vmrseq overcomes sparsity and noise in high-throughput single-cell DNA methylation measurements to detect variably methylated regions with increased accuracy and robustness.

Key Features:

• Variable Methylation Region Detection: Identifies variably methylated regions without relying on predefined regions or sliding windows.
• Sensitivity to Heterogeneity Levels: Reports regions that are sensitive to the heterogeneity level present in input data.
• Integration with Gene Expression: Highlights context-dependent correlations between methylation and gene expression to support findings and facilitate hypotheses on epigenetic regulation.

Scientific Applications:

• Single-cell Epigenetic Heterogeneity Analysis: Enables genome-scale study of inter-cellular epigenetic heterogeneity from sparse and noisy single-cell DNA methylation data.
• Epigenetic Regulation Research: Facilitates novel hypotheses on epigenetic regulation through context-dependent methylation-expression correlation analysis.
• Feature Selection: Improves feature selection in case studies through accurate VMR detection.

Methodology:

vmrseq uses a statistical method based on probabilistic modeling of single-cell methylation heterogeneity.