Table 3.

Summary of the state-of-the-art methods for predicting enhancers.

Method	Jackknife	5-Fold	10-Fold	Independent	Enhancer or Not	Strong or Weak
iEnhancer-2L [40]	√			√	√	√
iEnhancer-PsedeKNC [41]		√			√	√
EnhancerPred [42]	√			√	√	√
EnhancerPred2.0 [43]	√				√	√
Enhancer-Tri-N [44]	√				√	√
iEnhaner-2L-Hybrid [45]	√				√	√
iEnhancer-EL [46]	√			√	√	√
iEnhancer-5Step [47]		√		√	√	√
DeployEnhancer [48]		√		√	√	√
ES-ARCNN [49]			√	√		√
iEnhancer-ECNN [50]				√	√	√
EnhancerP-2L [51]		√	√	√	√	√
iEnhancer-CNN [52]		√		√	√	√
iEnhancer-XG [53]			√	√	√	√
Enhancer-DRRNN [54]				√	√	√
Enhancer-BERT [55]		√		√	√
iEnhancer-KL [56]		√			√	√
iEnhancer-RF [57]		√		√	√	√
spEnhancer [58]				√	√	√
iEnhancer-EBLSTM [59]				√	√	√
iEnhancer-GAN [60]			√	√	√	√
piEnPred [61]		√		√	√	√
iEnhancer-RD [62]		√		√	√	√
iEnhancer-MFGBDT [63]			√	√	√	√

√ denoted conduction of corresponding cross validation.