RNA contact prediction by data efficient deep learning

RNA contact prediction by data efficient deep learning

Abstract On the path to full understanding of the structure-function relationship or even design of RNA, structure prediction would offer an intriguing complement to experimental efforts. Any deep learning on RNA structure, however, is hampered by the sparsity of labeled training data. Utilizing the...

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Bibliographic Details
Main Authors: Oskar Taubert, Fabrice von der Lehr, Alina Bazarova, Christian Faber, Philipp Knechtges, Marie Weiel, Charlotte Debus, Daniel Coquelin, Achim Basermann, Achim Streit, Stefan Kesselheim, Markus Götz, Alexander Schug
Format: Article
Language:English
Published: Nature Portfolio 2023-09-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-023-05244-9

Internet

https://doi.org/10.1038/s42003-023-05244-9

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