This chapter provides an end-to-end guide for constructing deep learning pipelines for RNA-RNA interaction (RRI) prediction, starting from raw RNA sequences, and covers dataset curation, negative sampling, feature engineering, model selection, training, evaluation, and interpretability using explainable AI techniques.
S. Harithanush, P. Chokalingam, Swetha Varadarajan· Methods in molecular biology· 0 citations
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