Dlm6am: a deep-learning-based tool for identifying n6,2`-o-dimethyladenosine sites in rna sequences

HIGHLIGHTS

• who: Zhengtao Luo et al. from the Computer Department, Jingdezhen Ceramic University, Jingdezhen, China have published the paper: DLm6Am: A Deep-Learning-Based Tool for Identifying N6,2`-O-Dimethyladenosine Sites in RNA Sequences, in the Journal: (JOURNAL) of 15/09/2022
• what: Compared with single deep learning models, the performance of the model has obvious advantages, e_g, the model DLm6Am was improved by 2.77%, 3.04%, 2.91%, 5.79%, 1.28%, and 1.16% over BiLSTM in terms of average values of Sn, Sp, ACC, MCC, AUROC, and AUPR, respectively.
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