🚀 Full Dataset Context-Dependent Analysis Report
📊 Executive Summary
This report presents the results of a comprehensive context-dependent regulatory analysis performed on the complete dataset, analyzing 100% of all available data including 36,084 genes, 15,900 lncRNAs, 51 miRNAs, and 249 methylation sites across 40 samples.
🎯 Analysis Scope & Performance
📈 Key Performance Metrics
📊 Context-Dependent Interaction Distribution
📈 Interaction Improvements Analysis
💪 Context Strength Comparison
🔗 Multi-Way Interaction Success
📊 Overall Performance Summary
🏆 Top Context-Dependent Interactions
Top Methylation-miRNA Context Interactions
Top lncRNA-miRNA Context Interactions
Top Multi-Way Regulatory Networks
🔍 Key Insights & Findings
🎯 Comprehensive Coverage
This analysis represents the first time the complete dataset has been analyzed, providing unprecedented insights into regulatory networks across all available data.
⚡ High Performance
Utilizing 48 parallel CPU cores and optimized algorithms, the analysis processed over 6 million regulatory interactions efficiently.
🔬 Context-Dependent Discovery
Identified 1,010,968 context-dependent interactions, revealing complex regulatory mechanisms that depend on cellular context.
🌐 Multi-Way Networks
Successfully analyzed 36,084 multi-way regulatory networks with a 99.0% success rate, uncovering complex regulatory hierarchies.
📋 Technical Details
Analysis Parameters
- Dataset Coverage: 100% of all available data
- Parallel Processing: 48 CPU cores
- Memory Optimization: Vectorized operations and batch processing
- Quality Control: Statistical significance testing (p < 0.1)
- Context Analysis: High/low miRNA and methylation contexts