A Long Short-Term Memory Neural Network Used to Predict the Exon–Intron Structure of a Gene.

Autor:	Uroshlev, L. A., Bal, N. V., Chesnokova, E. A.
Zdroj:	Biophysics; Jul2020, Vol. 65 Issue 4, p574-576, 3p
Abstrakt:	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. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu Full text from SpringerLink