Deep learning framework for RNA 5hmC prediction using RNA language model embeddings
Table 5
10-fold CV performance results of different feature descriptors. The scores are presented in ‘mean±standard deviation’ format. An XGB model was trained using each one of the feature descriptors separately on the Training set. The highest values of each metric are boldfaced. As RiNALMo generates embeddings with a tensor size of (batch size, seq length, embedding size), the embeddings were averaged along the sequence length dimension for comparison.