Table 3 Performance of different methods in terms of auPRC scores
From: DeepHistone: a deep learning approach to predicting histone modifications
Methods | H3K4me1 | H3K4me3 | H3K27me3 | H3K36me3 | H3K9me3 | H3K9ac | H3K27ac |
|---|---|---|---|---|---|---|---|
DeepHistone (Standard) | 0.8116 (0.0751) | 0.8432 (0.0801) | 0.6655 (0.1032) | 0.7551 (0.0688) | 0.6779 (0.1329) | 0.7271 (0.1044) | 0.7714 (0.0822) |
DeepHistone (DNA-only) | 0.7429 (0.1268) | 0.8208 (0.1348) | 0.6543 (0.1382) | 0.7493 (0.0754) | 0.6427 (0.1424) | 0.6888 (0.1835) | 0.6990 (0.1535) |
DeepHistone (DNase-only) | 0.6664 (0.0985) | 0.5962 (0.0549) | 0.3219 (0.1459) | 0.4043 (0.0776) | 0.3489 (0.1401) | 0.5701 (0.1465) | 0.6673 (0.1179) |
DeepSEA | 0.6087 (0.0817) | 0.7371 (0.0566) | 0.4404 (0.1355) | 0.6164 (0.0647) | 0.5554 (0.1277) | 0.5629 (0.1536) | 0.5340 (0.1027) |
DanQ | 0.5805 (0.0783) | 0.7303 (0.0737) | 0.4233 (0.1046) | 0.6178 (0.0756) | 0.5420 (0.1379) | 0.5502 (0.1034) | 0.5015 (0.0859) |
gkm-SVM | 0.4237 (0.0722) | 0.5858 (0.0981) | 0.2774 (0.0945) | 0.4069 (0.0898) | 0.4221 (0.1208) | 0.3889 (0.1187) | 0.3340 (0.0700) |