cfDNAPro

cfDNAPro extracts and visualizes biological features from whole genome sequencing data of cell-free DNA to support cancer sample classification machine learning models.

Key Features:

• Feature Characterization: Extracts fragment size metrics and other biological features from cfDNA sequencing data.
• Feature Visualization: Generates visualizations of cfDNA biological features including fragment size and fragment end motifs.
• Standardized Analysis: Provides curated, standardized, and reproducible workflows for cfDNA feature analysis.

Scientific Applications:

• Cancer Classification: Supports building machine learning classification models for cancer samples using cfDNA fragment features.
• Fragment Size Analysis: Analyzes and visualizes cell-free DNA fragment size distributions from whole genome sequencing data.
• End Motif Profiling: Characterizes fragment end motifs as biological features for downstream modeling.

Methodology:

The package provides two sets of functions for cfDNA feature characterization and visualization.