Prediction of Secondary Structure for Long Non-Coding RNAs using a Recursive Cutting Method based on Deep Learning
Author:
Affiliation:
1. Université Paris-Saclay, Univ Evry, IBISC,Evry-Courcouronnes,France
2. ADLIN Science,Paris,France
3. CNRS - Institut Curie, Molecular Oncology,UMR144,Paris,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10431814/10431802/10431864.pdf?arnumber=10431864
Reference26 articles.
1. Optimal computer folding of large RNA sequences using thermodynamics and auxiliary information
2. Improved RNA secondary structure prediction by maximizing expected pair accuracy
3. Maximum expected accuracy structural neighbors of an RNA secondary structure
4. The equilibrium partition function and base pair binding probabilities for RNA secondary structure
5. Vienna RNA secondary structure server
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