RNA secondary structure prediction using deep learning with thermodynamic integration
Accurately predicting the secondary structure of non-coding RNAs can help unravel their function. Here the authors propose a method integrating thermodynamic information and deep learning to improve the robustness of RNA secondary structure prediction compared to several existing algorithms.
Enregistré dans:
Auteurs principaux: | , , |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/862e961ec971484fbb3f7229d26241f6 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|