PScnv: Personalized Self-Normalizing CNV Detection with a Hierarchical Multi-Phase Framework

Key Points

• The aim is to develop an advanced method for detecting copy number variations (CNVs) with enhanced accuracy.
• Developed a hierarchical multi-phase framework for CNV detection.
• Utilized personalized algorithms to improve detection precision.
• Included supplementary data for further validation.
• Demonstrated enhanced sensitivity and specificity in detecting CNVs.
• Achieved higher accuracy compared to traditional methods.