{"id":150078,"date":"2025-11-24T10:10:09","date_gmt":"2025-11-24T10:10:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/il\/150078\/"},"modified":"2025-11-24T10:10:09","modified_gmt":"2025-11-24T10:10:09","slug":"ometanet-an-efficient-hybrid-deep-learning-model-based-on-multimodal-data-fusion-and-contrastive-learning-for-predicting-2%ca%b9-o-methylation-sites-in-human-rna-bmc-bioinformatics","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/il\/150078\/","title":{"rendered":"OMetaNet: an efficient hybrid deep learning model based on multimodal data fusion and contrastive learning for predicting 2\u02b9-O-methylation sites in human RNA | BMC Bioinformatics"},"content":{"rendered":"<p class=\"c-article-references__text\" id=\"ref-CR1\">Arzumanian VA, Dolgalev GV, Kurbatov IY, Kiseleva OI, Poverennaya EV. Epitranscriptome: review of top 25 most-studied RNA modifications. 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