m6Aexpress-enet: Predicting the regulatory expression m6A sites by an enet-regularization negative binomial regression model
Article in Methods (April 2024)
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Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering
Article in IEEE Journal of Biomedical and Health Informatics (April 2024)
Deepm6A-MT: A deep learning-based method for identifying RNA N6-methyladenosine sites in multiple tissues
Article in Methods (March 2024)