Ranking Transitive Chemical-Disease Inferences Using Local Network Topology in the Comparative Toxicogenomics Database
Figure 2
Example chemical-disease inference networks with similar numbers of genes, but with different node degrees.
A) Malathion-Breast Neoplasms inference network with Cxy = 7.49, p1 = 17.30, p2 = 40.32, SXYA = 28.81 and WXYA = 17.31 that used the following genes (degrees listed in parentheses and used to set gene node diameter): CENPF (29), CYP3A4 (414), HRAS (95), HRAS1(42) IFNB1 (48), IFNG (347), SOD2 (191), TP53 (458) and TYMS (113). B) Pioglitazone-Breast Neoplasms inference network with Cxy = 7.24, p1 = 16.72, p2 = 32.10, SXYA = 24.46 and WXYA = 16.73 that used the following genes: CDKN1B (167), CYP3A4 (414), IFNG (347), IL1B (492), NOS2 (456), PTGS2 (521), RB1 (209), RELA (368) and TNF (835).