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Table 6 Benchmark models in this paper

From: Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation prediction

Model

Model details

References

iDNA-MS

Random Forest algorithm

http://lin-group.cn/server/iDNA-MS

Lv, ect. 2020 [43]

iDNA–ABT

Adaptive embedding based on Bidirectional Encoder Representations from Transformers together with transductive information maximization

Yu, ect. 2021 [45]

iDNA-AB

iDNA-ABT using the cross-entropy loss

Yu, ect. 2021 [45]

EA-LSTM

Evolutionary attention-based LSTM

Li, etc. 2019 [68]

CTS-LSTM

LSTM network for correlated time series

Wan, etc. 2020 [69]

Conv-LSTM

Convolutional neural network and LSTM

Fu, etc. 2022 [70]