Prediction of conotoxin type based on long short-term memory network
Aiming at the problems of the wet experiment method in identifying the types of conotoxins, such as the complexity, low efficiency and high cost, this study proposes a method that uses the sequence information of the conotoxin peptides combined with long short term memory networks (LSTM) models to p...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
AIMS Press
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/049c1f6da8a548d9bd0dfb9d24d17479 |
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