A Long Short-Term Memory Neural Network Used to Predict the Exon–Intron Structure of a Gene
Biophysics(2020)
摘要
Several models of long short-term memory (LSTM) neural networks were constructed. Each model was trained on the complete mouse genome to predict the exon–intron structure of a gene. The performance of the neural networks was compared using a test sample and experimental sequencing data obtained using rat brain cell cultures after treatment with spicing inhibitors.
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关键词
Keywords: recurrent neural networks, splicing, LSTM-neural network, GRU-neural network, pladienolide
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