Cofactors sorted by similarity to al in S2 cells
There are two different TFs/cofactors similarities:
- a functional regulatory similarity (that we measure by Euclidean distance), or
- a profile similarity, that is relative preferences for different contexts regardless of their absolute value (Pearson correlation).
Because these similarities are not the same, the rankings according to them should be expected to differ as well.
| Gene Name | Type | Activity (log2) in S2 cells (avg/min/max) |
Cluster | Euclidean distance Euclidean distance▾ Euclidean distance▴ | Pearson correlation Pearson correlation▾ Pearson correlation▴ |
|---|---|---|---|---|---|
| Ext2 (FBgn0029175) | cofactor |
|
4.589 (201) | 0.285 (294) | |
| CG5225 (FBgn0038468) | cofactor |
|
4.599 (202) | 0.370 (278) | |
| CG5846 (FBgn0032171) | cofactor |
|
4.601 (203) | 0.394 (260) | |
| Taf13 (FBgn0032847) | cofactor |
|
4.616 (204) | 0.683 (140) | |
| Nat1 (FBgn0031020) | cofactor |
|
4.616 (205) | 0.476 (230) | |
| bon (FBgn0023097) | cofactor |
|
4.618 (206) | 0.834 (58) | |
| p16-ARC (FBgn0031437) | cofactor |
|
4.648 (207) | 0.578 (193) | |
| CG13795 (FBgn0031937) | cofactor |
|
4.649 (208) | 0.199 (307) | |
| l(2)37Cd (FBgn0086445) | cofactor |
|
4.649 (209) | 0.523 (214) | |
| CG13796 (FBgn0031939) | cofactor |
|
4.661 (210) | 0.162 (309) | |
| MTA1-like (FBgn0027951) | cofactor |
|
4.673 (211) | 0.853 (40) | |
| CG8117 (FBgn0030663) | cofactor |
|
4.673 (212) | 0.583 (189) | |
| CG41099 (FBgn0039955) | cofactor |
|
4.677 (213) | -0.044 (321) | |
| Nurf-38 (FBgn0016687) | cofactor |
|
4.680 (214) | 0.267 (298) | |
| Tango10 (FBgn0030330) | cofactor |
|
4.682 (215) | -0.041 (320) | |
| Elp2 (FBgn0033540) | cofactor |
|
4.683 (216) | 0.259 (302) | |
| RpII140 (FBgn0262955) | cofactor |
|
4.687 (217) | 0.353 (284) | |
| CG18136 (FBgn0036839) | cofactor |
|
4.750 (218) | 0.575 (194) | |
| CG31730 (FBgn0051730) | cofactor |
|
4.751 (219) | 0.608 (179) | |
| MED9 (FBgn0260401) | cofactor |
|
4.763 (220) | 0.458 (237) | |
| vih (FBgn0027936) | cofactor |
|
4.769 (221) | 0.354 (283) | |
| kappaTry (FBgn0043471) | cofactor |
|
4.779 (222) | 0.332 (289) | |
| CG3711 (FBgn0040344) | cofactor |
|
4.782 (223) | 0.412 (254) | |
| lid (FBgn0031759) | cofactor |
|
4.793 (224) | -0.329 (333) | |
| dbo (FBgn0040230) | cofactor |
|
4.797 (225) | 0.417 (251) | |
| CG11714 (FBgn0036170) | cofactor |
|
4.809 (226) | 0.264 (299) | |
| blue (FBgn0041161) | cofactor |
|
4.813 (227) | 0.346 (287) | |
| CG8850 (FBgn0033708) | cofactor |
|
4.829 (228) | 0.263 (300) | |
| CG4476 (FBgn0035969) | cofactor |
|
4.847 (229) | 0.269 (297) | |
| ine (FBgn0011603) | cofactor |
|
4.847 (230) | 0.324 (292) | |
| EloA (FBgn0039066) | cofactor |
|
4.850 (231) | 0.887 (8) | |
| CG1698 (FBgn0033443) | cofactor |
|
4.863 (232) | 0.327 (291) | |
| mbf1 (FBgn0262732) | cofactor |
|
4.875 (233) | 0.765 (95) | |
| UbcD6 (FBgn0004436) | cofactor |
|
4.879 (234) | 0.574 (195) | |
| KLHL18 (FBgn0037978) | cofactor |
|
4.880 (235) | 0.283 (296) | |
| RpLP2 (FBgn0003274) | cofactor |
|
4.882 (236) | 0.445 (239) | |
| etaTry (FBgn0011554) | cofactor |
|
4.911 (237) | 0.520 (215) | |
| pont (FBgn0040078) | cofactor |
|
4.938 (238) | -0.012 (318) | |
| CG3353 (FBgn0038869) | cofactor |
|
4.946 (239) | 0.078 (315) | |
| Sin3A (FBgn0022764) | cofactor |
|
4.980 (240) | 0.865 (28) | |
| CG33785 (FBgn0061362) | cofactor |
|
4.981 (241) | 0.682 (142) | |
| CG30357 (FBgn0050357) | cofactor |
|
4.989 (242) | -0.011 (317) | |
| Ssl1 (FBgn0037202) | cofactor |
|
4.999 (243) | 0.487 (226) | |
| MED21 (FBgn0040020) | cofactor |
|
5.002 (244) | 0.516 (218) | |
| CG1868 (FBgn0033427) | cofactor |
|
5.026 (245) | 0.412 (256) | |
| lds (FBgn0002542) | cofactor |
|
5.032 (246) | 0.381 (266) | |
| CG7058 (FBgn0030961) | cofactor |
|
5.053 (247) | 0.388 (263) | |
| Art7 (FBgn0034817) | cofactor |
|
5.056 (248) | 0.426 (246) | |
| SNF4Agamma (FBgn0025803) | cofactor |
|
5.069 (249) | 0.417 (250) | |
| alpha-Adaptin (FBgn0263350) | cofactor |
|
5.078 (250) | 0.380 (267) |