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Table 4 Summary statistics of dataset overlapping across the six V-IPN subnetworks

From: A vascular biology network model focused on inflammatory processes to investigate atherogenesis and plaque instability

  Dataset name Dataset ID N° of state changes (SC) N°of HYPs in dataset NoHYPs overlapping withEC activation N° HYPs overlapping withplatelet activation N° HYPs overlapping withEC-monocyte interaction N° HYPs overlapping withfoam cell formation N° HYPs O/L with SMC Activation N° HYPs O/L with Plaque Destabilization N° HYPs O/L with V-IPN
Total N° of possible HYPs in each subnetwork for human/mouse 2410/ 2354 155/149 59/55 30/27 118/113 88/84 104/102 340*/334
Mouse Mm_Ao_78w_ApoE_vs_wt GSE10000 3872 449 59 11 13 42 32 43 110
Mm_Ao_16w_ApoE_CS_vs_sham E-MTAB-1696 1928 245 24 8 4 23 19 18 52
Human Hs_EC_GFP_oxLDL_vs_ct GSE13139 398 152 16 4 4 16 9 14 31
Hs_EC_LOX1_oxLDL_vs_ct GSE13139 752 224 30 8 8 21 16 21 52
Hs_EC_oxPAP_vs_ct GSE20060 609 309 45 12 8 21 23 27 77
Hs_athCA_vs_ctIMA GSE40231 3643 309 42 17 11 36 20 37 80
Hs_NHBE_CDKinh_rel_vs_blk_8h E-MTAB-1272 1655 296 27 5 7 19 18 14 53
Hs_MVEC-C_hpx_vs_ct_24h GSE11341 459 192 27 8 4 16 16 18 48
Hs_MVEC-L_hpx_vs_ct_24h GSE11341 504 198 22 4 4 15 13 14 42
  Hs_JurkT_ars_vs_ct GSE46909 2381 157 15 5 3 3 9 8 31
  1. Reverse causal reasoning (RCR) analysis was conducted using richness and concordance p values <0.05. HYPs that met both criteria were considered to be statistically significant. *Total number of unique human HYPs among the six subnetworks. Total is not 551 HYPs, the sum obtained from Figure 3, due to node/HYP overlap between the subnetworks. Mm_Ao_78w_ApoE_vs_wt (GSE10000) is included in this table as a building dataset reference. O/L: overlapping. Dataset Name Dataset ID N° of state changes (SC) N° of HYPs in dataset N° HYPs O/L with EC Activation N° HYPs O/L with Platelet Activation N° HYPs O/L with EC-Monocyte Interaction N° HYPs O/L with Foam Cell Formation N° HYPs O/L with SMC Activation N° HYPs O/L with Plaque Destabilization N° HYPs O/L with V-IPN.
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