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Table 3 TFs identified by network inference in terms of specificity.

From: A computational procedure for identifying master regulator candidates: a case study on diabetes progression in Goto-Kakizaki rats

Alx1, Arnt, Cebpg, Ddit3, Dlx5, Dmrt2, Dnmt1, Dr1, Ebf1, Elf5, Elk3, Elk4, Erg, Etv4, Etv5, Fev, Fosl1, Foxe1, Foxg1, Foxo3, Foxp4, Gabpb1l, Gfi1, Gtf2a1, Gtf2b, Gtf2e1, Gzf1, Hcfc1, Hey1, Hhex, Hoxb3, Hoxb7, Ilf3, Irx2, Kcnip4, Klf1, Klf15, Klf3, Klf5, Klf7, Ldb2, LOC680117, Mafk, Meis2, Mnat1, Msx1, Msx2, Mybl2, Myc, Myocd, Myod1, Mzf1, Neurod2, Nfix, Nfx1, Nkx6-1, Notch1, Nr1h4, Nr2f1, Nr4a1, Nr5a1, Pax8, Pbx2, Phox2a, Pitx1, Pitx3, Pou2f3, Pou3f1, Ppard, Pparg, Ppargc1a, Rbl1, RGD1566107, Rreb1, Runx1, Shh, Six5, Six6, Skp2, Sox10, Sox11, Sp1, Sp2, Spdef, Srebf1, Ss18l1, Stat5a, Stat5b, Taf2, Tbx18, Tbx2, Tcf12, Tcfap2b, Tead1, Tfdp2, Tfec, Tmf1, Tp53bp1, Twist1, Vdr, Zbtb5, Zfhx3, Zfp191, Zfp238, Zfp423, Zfp444, Zhx1, Zic1