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2025	DNA sequence analysis landscape: a comprehensive review of DNA sequence analysis task types, databases, datasets, word embedding methods, and language models Frontiers in Medicine Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Arooj Zaib, Andreas Dengel
2025	Artificial Intelligence for Molecular Biology Muhammad Nabeel Asim, Sheraz Ahmed, Andreas Dengel
2024	PSATF-6mA: an integrated learning fusion feature-encoded DNA-6 mA methylcytosine modification site recognition model based on attentional mechanisms Frontiers in Genetics Yanmei Kang, Hongyuan Wang, Yubo Qin, Guanlin Liu, Yi Yu, Yongjian Zhang
2024	2024 IEEE International Symposium on Circuits and Systems (ISCAS) Thanh-Hoang Nguyen-Vo, Susanto Rahardja, Binh P. Nguyen
2023	ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites IEEE/ACM Transactions on Computational Biology and Bioinformatics Yongxian Fan, Guicong Sun, Xiaoyong Pan
2023	M6A-BERT-Stacking: A Tissue-Specific Predictor for Identifying RNA N6-Methyladenosine Sites Based on BERT and Stacking Strategy Symmetry Qianyue Li, Xin Cheng, Chen Song, Taigang Liu
2023	CNN6mA: Interpretable neural network model based on position-specific CNN and cross-interactive network for 6mA site prediction Computational and Structural Biotechnology Journal Sho Tsukiyama, Md Mehedi Hasan, Hiroyuki Kurata
2023	DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method Briefings in Bioinformatics Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Ahtisham Fazeel, Andreas Dengel, Sheraz Ahmed
2023	Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation prediction BMC Genomics Wu Yan, Li Tan, Li Mengshan, Zhou Weihong, Sheng Sheng, Wang Jun, Wu Fu-an
2023	DeepMethylation: a deep learning based framework with GloVe and Transformer encoder for DNA methylation prediction PeerJ Zhe Wang, Sen Xiang, Chao Zhou, Qing Xu
2022	Deep6mAPred: A CNN and Bi-LSTM-based deep learning method for predicting DNA N6-methyladenosine sites across plant species Methods Xingyu Tang, Peijie Zheng, Xueyong Li, Hongyan Wu, Dong-Qing Wei, Yuewu Liu, Guohua Huang
2022	BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches Briefings in Bioinformatics Sho Tsukiyama, Md Mehedi Hasan, Hong-Wen Deng, Hiroyuki Kurata
2022	MGF6mARice: prediction of DNA N6-methyladenine sites in rice by exploiting molecular graph feature and residual block Briefings in Bioinformatics Mengya Liu, Zhan-Li Sun, Zhigang Zeng, Kin-Man Lam
2022	2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Zeeshan Abbas, Mobeen Ur Rehman, Kil To Chong
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