MethylResolver: DNA Methylation Data for Cell Deconvolution in Cancer

Twelve datasets support the MethylResolver method for deconvolving bulk DNA methylation profiles into cell contents. The data includes in silico and in vitro mixtures with ground truth cell type percentages and deconvolution results. Douglas Arneson authored the associated manuscript in Communications Biology.

Use Cases

• Benchmarking deconvolution methods based on in silico mixture data with known ground truth percentages.
• Evaluating algorithm performance on in vitro mixtures with added noise coefficients.
• Analyzing the impact of tumor content and cancer cell line type on deconvolution accuracy.

Strengths

• Includes 12 distinct datasets supporting a published Communications Biology manuscript.
• Provides ground truth cell type percentages for both in silico and in vitro mixtures.
• Contains results from multiple deconvolution methods for direct comparison.

Limitations

• Row count and overall dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the description after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Douglas Arneson, associated with a Communications Biology manuscript.

Collection Method

Data generated for the MethylResolver method, including in silico simulations and in vitro experiments.