CpG Relational Graphs
Cross-source consensus on CpG Relational Graphs from 1 sources and 6 claims.
1 sources · 6 claims
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Benefits
Preparation
Highlighted claims
- The study constructs co-methylation, same-chromosome, and same-gene graphs over the same CpG node set. — Learning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation
- The co-methylation graph connects CpG pairs whose methylation correlation exceeds a threshold. — Learning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation
- The co-methylation graph is sparsified to reduce density, memory cost, and noise. — Learning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation
- Same-chromosome and same-gene graphs use Boolean-positive annotation relationships. — Learning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation
- Separating the graphs is intended to prevent semantic mixing between continuous correlation edges and Boolean annotation edges. — Learning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation
- Co-methylation was found to contribute the strongest relational signal for age estimation. — Learning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation