Took the top 100 genes in component 24 (of 35 rank) and did Context Dependent Regulation Ananysis
Summary of output
These CSV files contain the detailed results of context-dependent regulatory analysis, including interaction statistics, p-values, context strengths, and regulatory relationships for each analyzed gene-regulator pair.
high_methylation_gene_lncrna_correlations.csv (29626.7 KB) high_methylation_gene_methylation_correlations.csv (339626.1 KB) high_methylation_gene_mirna_correlations.csv (40.0 KB) lncrna_mirna_context.csv (1544.7 KB) low_mirna_gene_lncrna_correlations.csv (36676.7 KB) low_mirna_gene_methylation_correlations.csv (341486.6 KB) low_mirna_gene_mirna_correlations.csv (81.5 KB) methylation_mirna_context.csv (1898.0 KB) multi_way_interactions.csv (248.9 KB)
Ptua
Multiway Regulation: https://gannet.fish.washington.edu/v1_web/owlshell/bu-github/ConTra/output/context_dependent_analysis_20251108_151255/tables/multi_way_interactions.csv
Peve
Multiway Regulation: https://gannet.fish.washington.edu/v1_web/owlshell/bu-github/ConTra/output/context_dependent_analysis_20251108_144034/tables/multi_way_interactions.csv
Apul
Multiway Regulation: https://gannet.fish.washington.edu/v1_web/owlshell/bu-github/ConTra/output/context_dependent_analysis_20251108_140602/tables/multi_way_interactions.csv