Caveats to Deep Learning Approaches to RNA Secondary Structure Prediction
Machine learning (ML) and in particular deep learning techniques have gained popularity for predicting structures from biopolymer sequences. An interesting case is the prediction of RNA secondary structures, where well established biophysics based methods exist. The accuracy of these classical metho...
Main Authors: | Christoph Flamm , Julia Wielach, Michael T. Wolfinger, Stefan Badelt, Ronny Lorenz, Ivo L. Hofacker |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-07-01
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Series: | Frontiers in Bioinformatics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fbinf.2022.835422/full |
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