Recently, the field has shown a clear trend toward multi-modification and condition-specific predictors, such as Multi-RM [ 57 ], AdaptRM [ 58 ], CLSM6A [ 59 ], and ExpressRM [ 60 ], which have attracted wide attention due to their superior versatility and generalization capabilities.
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OMetaNet: an efficient hybrid deep learning model based on multimodal data fusion and contrastive learning for predicting 2'-O-methylation sites in human RNA.
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