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A Deep Learning Approach to the Prediction of RNA Secondary Structure

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Authors: Stefano Gustincich, Remo Sanges, Claudio Eccher, Giulia Rossetti, Giovanni Vazza, et al.
Year: 2018
Journal: Nature Methods
DOI: 10.1038/s41592-018-0235-4
Publisher: https://www.nature.com/articles/s41592-018-0235-4

Keywords: rna, deep-learning

Abstract

We present a deep learning method to predict RNA secondary structure from sequence.

Cite this paper

bibtex
@misc{alphagenome2018,
  title  = {A Deep Learning Approach to the Prediction of RNA Secondary Structure},
  author = {Stefano Gustincich, Remo Sanges, Claudio Eccher, Giulia Rossetti, Giovanni Vazza, et al.},
  year   = {2018},
  journal = {Nature Methods},
  doi    = {10.1038/s41592-018-0235-4},
  url    = {https://doi.org/10.1038/s41592-018-0235-4},
}

Source files

Released under the MIT License.