RNA Splicer is an AI-driven tool jointly developed by Cyagen Biosciences and the AI Innovation Center of Tsinghua University Pearl River Delta Research Institute, designed to predict the impact of sequence variants on RNA splicing.
The AI model of RNA Splicer innovatively combines the deep learning DanQ model and the Transformer model, while also integrating the E-value algorithm from bioinformatics.