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Published in 2023 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbad153
Abstract: Abstract Since the 1980s, dozens of computational methods have addressed the problem of predicting RNA secondary structure. Among them are those that follow standard optimization approaches and, more recently, machine learning (ML) algorithms. The former…
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Keywords:
rna structure;
structure;
learning rna;
machine learning ... See more keywords
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1
Published in 2022 at "Frontiers in Molecular Biosciences"
DOI: 10.3389/fmolb.2022.869601
Abstract: Deep learning, or artificial neural networks, is a type of machine learning algorithm that can decipher underlying relationships from large volumes of data and has been successfully applied to solve structural biology questions, such as…
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Keywords:
rna structure;
learning rna;
rna;
structure studies ... See more keywords