18. Data tables

18. Data tables

These tables are the -network results behind the figures — every entry computed on the Twist1 IID+TRRUST data.

18.1 Per-network results (40 scale-free networks, Fig. 1)

RankGeneNetPert weightBC-sub rankOut-degreeDrugs
1Pdgfra2.13e-023373AC-710, BMS-536924, CP-673451
2Htt1.80e-0211523—
3Tp531.76e-0242321—
4Ctnnb11.53e-0261236CCT-031374, ICG-001, PNU-74654
5Cdh11.51e-025933—
6Zranb11.43e-0223868—
7Vim1.37e-027863—
8Ppia1.36e-0227883L-proline, TMN-355, cyclosporin-A
9Stat31.28e-0210618APcK-110, STAT3-inhibitor-VI, WP1066
10Clu1.28e-0220310—
11Stub11.26e-0225691—
12Nfkb11.25e-0217683SP-100030, andrographolide, arglabin
13Ep3001.15e-02141371C646, I-CBP-112, SGC-CBP30
14Sox21.14e-0281386—
15Col2a11.08e-02970—
16Rela1.08e-0219679BAY-11-7082, NFKB-activation-inhibitor-II, acetylcysteine
17Kif231.07e-0221965—
18Hif1a1.04e-02404642-methoxyestradiol, 3, 3'-diindolylmethane
19Hdac61.02e-0215861ACY-1215, JNJ-26481585, PCI-24781
20H4c11.02e-02121833—
21Pdgfrb1.01e-0244304AC-710, BMS-536924, CP-673451
22Stau19.53e-03131463—
23Hdac19.46e-035411164SC-202, ACY-1215, AR-42
24Ikbkb9.44e-0350302AZD3264, BMS-345541, IKK-16
25Tnf9.16e-0318387CPI-1189, JTE-607, SB-203580
26Eif2b58.66e-0335207—
27Cul4a8.58e-0326790—
28Hdac28.53e-0367878ACY-1215, CUDC-907, JNJ-26481585
29Esr18.39e-0311230517-hydroxyprogesterone-caproate, AZD9496, GDC-0810
30Ppp2ca8.32e-0348516vitamin-E
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Rank,Gene,NetPert weight,BC-sub rank,Out-degree,Drugs
1,Pdgfra,2.13e-02,3,373,AC-710, BMS-536924, CP-673451
2,Htt,1.80e-02,1,1523,—
3,Tp53,1.76e-02,4,2321,—
4,Ctnnb1,1.53e-02,6,1236,CCT-031374, ICG-001, PNU-74654
5,Cdh1,1.51e-02,5,933,—
6,Zranb1,1.43e-02,2,3868,—
7,Vim,1.37e-02,7,863,—
8,Ppia,1.36e-02,27,883,L-proline, TMN-355, cyclosporin-A
9,Stat3,1.28e-02,10,618,APcK-110, STAT3-inhibitor-VI, WP1066
10,Clu,1.28e-02,20,310,—
11,Stub1,1.26e-02,25,691,—
12,Nfkb1,1.25e-02,17,683,SP-100030, andrographolide, arglabin
13,Ep300,1.15e-02,14,1371,C646, I-CBP-112, SGC-CBP30
14,Sox2,1.14e-02,8,1386,—
15,Col2a1,1.08e-02,9,70,—
16,Rela,1.08e-02,19,679,BAY-11-7082, NFKB-activation-inhibitor-II, acetylcysteine
17,Kif23,1.07e-02,21,965,—
18,Hif1a,1.04e-02,40,464,2-methoxyestradiol, 3, 3'-diindolylmethane
19,Hdac6,1.02e-02,15,861,ACY-1215, JNJ-26481585, PCI-24781
20,H4c1,1.02e-02,12,1833,—
21,Pdgfrb,1.01e-02,44,304,AC-710, BMS-536924, CP-673451
22,Stau1,9.53e-03,13,1463,—
23,Hdac1,9.46e-03,54,1116,4SC-202, ACY-1215, AR-42
24,Ikbkb,9.44e-03,50,302,AZD3264, BMS-345541, IKK-16
25,Tnf,9.16e-03,18,387,CPI-1189, JTE-607, SB-203580
26,Eif2b5,8.66e-03,35,207,—
27,Cul4a,8.58e-03,26,790,—
28,Hdac2,8.53e-03,67,878,ACY-1215, CUDC-907, JNJ-26481585
29,Esr1,8.39e-03,11,2305,17-hydroxyprogesterone-caproate, AZD9496, GDC-0810
30,Ppp2ca,8.32e-03,48,516,vitamin-E

18.2 Top 30 ranked genes on the 120-node network (Figs. 4–5, section 12)

Genelog2FCDrugIC50 (nM)Dissemination %NetPert rank
Sema5a2.77Gö-697611.480.01133
Ncam13.10SB-52533477.5113.6962
Emilin13.46Taxol6.01215.41089
Pcolce4.17Sorafenib151.226.71100
Ptprv2.53kb-NB142-70106.931.71196
Olfml33.44Genistein61433.31172
Fut14.34AMD31001628050.01179
Tgfbi2.73Batimastat176550.01135
Plekhg12.34C021.2HCl992.350.01102
Spock23.08Gö-6983104352.31171
Cbfa2t34.27CP 690550139759.11021
Mme3.19PF-5431082264.7149
Unc5b3.32SKI-5C19716570.01087
Plxna42.83GNF 58373108472.91043
Fat44.28CID-755636336981.21109
Cacna1c3.06CID-2011756978781.2447
Gramd1b2.76GM60013674983.31123
Col6a11.91Isradipine3280094.71067
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Gene,log2FC,Drug,IC50 (nM),Dissemination %,NetPert rank
Sema5a,2.77,Gö-6976,11.48,0.0,1133
Ncam1,3.10,SB-525334,77.51,13.6,962
Emilin1,3.46,Taxol,6.012,15.4,1089
Pcolce,4.17,Sorafenib,151.2,26.7,1100
Ptprv,2.53,kb-NB142-70,106.9,31.7,1196
Olfml3,3.44,Genistein,614,33.3,1172
Fut1,4.34,AMD3100,16280,50.0,1179
Tgfbi,2.73,Batimastat,1765,50.0,1135
Plekhg1,2.34,C021.2HCl,992.3,50.0,1102
Spock2,3.08,Gö-6983,1043,52.3,1171
Cbfa2t3,4.27,CP 690550,1397,59.1,1021
Mme,3.19,PF-543,10822,64.7,149
Unc5b,3.32,SKI-5C,197165,70.0,1087
Plxna4,2.83,GNF 5837,31084,72.9,1043
Fat4,4.28,CID-755636,3369,81.2,1109
Cacna1c,3.06,CID-2011756,9787,81.2,447
Gramd1b,2.76,GM6001,36749,83.3,1123
Col6a1,1.91,Isradipine,32800,94.7,1067

18.3 Accuracy by network type (AUROC, Figs. 8 and 16)

Score pairSpearman rhoTop-20 overlap
NetPert – BC (driver-to-response)0.5816/20
NetPert – BC (full network)0.5917/20
NetPert – out-degree0.512/20
NetPert – driver PPR0.796/20
BC (driver-to-response) – BC (full)-0.8218/20
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Score pair,Spearman rho,Top-20 overlap
NetPert – BC (driver-to-response),0.58,16/20
NetPert – BC (full network),0.59,17/20
NetPert – out-degree,0.51,2/20
NetPert – driver PPR,0.79,6/20
BC (driver-to-response) – BC (full),-0.82,18/20

18.4 Accuracy by number of responses (AUROC, Fig. 9)

Edges removedNetPert rhoBetweenness rhoNetPert top-20 overlap
10%0.948 ± 0.0040.886 ± 0.00917.7/20
25%0.889 ± 0.0070.723 ± 0.00311.0/20
50%0.775 ± 0.0040.520 ± 0.0209.7/20

18.5 Stability under rewiring (Spearman ρ, Fig. 10)

Relaxation rSpearman vs r = 0.5Top-20 overlap
0.100.997618/20
0.250.999218/20
0.501.000020/20
0.750.999115/20
0.900.996611/20
0.990.98725/20

18.6 Accuracy by network type × number of responses (AUROC, 8 networks per cell)

Path typeGenesMedian weightIn top-20
DIR (driver- and response-adjacent)1543.80e-0320/20
DI (driver-adjacent only)512.39e-040/20
IR (response-adjacent only)8381.25e-040/20
I (neither)1562.65e-060/20
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Path type,Genes,Median weight,In top-20
DIR (driver- and response-adjacent),154,3.80e-03,20/20
DI (driver-adjacent only),51,2.39e-04,0/20
IR (response-adjacent only),838,1.25e-04,0/20
I (neither),156,2.65e-06,0/20

18.7 Parameter sweep: relaxation r × time steps n_t (20 scale-free networks)

Each cell shows mean AUROC / mean top-20 overlap with the default setting (r = 0.5, n_t = 16).

CheckValue
Drop TRRUST directed edges (531 in subnetwork)rank rho = 0.945; top-20 overlap 16/20
DIR genes in top-1010/10
DIR genes in top-2020/20
DIR genes in top-5050/50
DIR genes in top-100100/100
DIR genes in top-200149/200
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Check,Value
Drop TRRUST directed edges (531 in subnetwork),rank rho = 0.945; top-20 overlap 16/20
DIR genes in top-10,10/10
DIR genes in top-20,20/20
DIR genes in top-50,50/50
DIR genes in top-100,100/100
DIR genes in top-200,149/200