Table 3 Accuracy comparison with other eight existing methods
From: A new method for enhancer prediction based on deep belief network
Method | Description | Epigenetic feature type | Accuracy(%) | Website | Reference |
|---|---|---|---|---|---|
ChAT | Dynamic Programming | Histone modification | 41.7 | — | [22] |
ChromaSig | Likelihood Function Clustering | Histone modification, Histone distribution | 62.6 | Bioinformatics- renlab.ucsd.edu/rentrac/wiki/ChromaSig | [23] |
CSI-ANN | Artificial Neural Network | Histone modification | 66.3 | [24] | |
Chromogens | Support Vector Machine | Histone modification | 90.0 | [25] | |
Won’s method | Hidden Markov Model | Histone modification | 80.0 | [26] | |
BNFinder | Bayes Network | Histone modification, Pol II site | 78.0 | [27] | |
Yip’s method | Random Forest | Histone modification | 67.0 | [28] | |
RFECS | Random Forest | Histone modification | 90.0 | [12] | |
EnhancerDBN | DEEP Belief Network | Histone modification | 92.0 | — | — |