Prediction of the Exon-Intron Structure of a Gene Based on Long Short-Term Memory Neural Network
This paper suggests several models of long short-term memory neural networks. We trained every model on a full mouse genome to predict the exon-intron structure of a gene. In this work we compare the performance of the neural networks in the test sample and experimental material obtained after screening rat brain cells treated with splicing inhibitors.