bio-methylation-based-detection

name	bio-methylation-based-detection
description	Analyzes cfDNA methylation patterns for cancer detection using cfMeDIP-seq or bisulfite sequencing with MethylDackel. Identifies cancer-specific methylation signatures and performs tissue-of-origin deconvolution. Use when using methylation biomarkers for early cancer detection or minimal residual disease.
tool_type	python
primary_tool	MethylDackel

Version Compatibility

Reference examples tested with: Bismark 0.24+, numpy 1.26+, pandas 2.2+, pysam 0.22+, scipy 1.12+, statsmodels 0.14+

Before using code patterns, verify installed versions match. If versions differ:

• Python: pip show <package> then help(module.function) to check signatures
• CLI: <tool> --version then <tool> --help to confirm flags

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

Methylation-Based Detection

"Detect cancer from cfDNA methylation patterns" → Analyze cell-free DNA methylation for multi-cancer early detection and tissue-of-origin classification using bisulfite or enzymatic conversion.

• CLI: MethylDackel extract for methylation calling from cfDNA bisulfite data

Analyze cfDNA methylation for cancer detection and tissue-of-origin analysis.