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Open Access

Peer-reviewed

Research Article

Machine learning predicts translation initiation sites in neurologic diseases with nucleotide repeat expansions

Alec C. Gleason,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft

Affiliation University of Chicago, Chicago, Illinois, United States of America
⨯
Ghanashyam Ghadge,

Roles Investigation, Validation, Visualization, Writing – review & editing

Affiliations University of Chicago, Chicago, Illinois, United States of America, Department of Neurology, University of Chicago, Chicago, Illinois, United States of America
⨯
Jin Chen,

Roles Data curation, Validation, Visualization, Writing – review & editing

Affiliation Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
⨯
Yoshifumi Sonobe,

Roles Investigation, Validation, Writing – review & editing

Affiliations University of Chicago, Chicago, Illinois, United States of America, Department of Neurology, University of Chicago, Chicago, Illinois, United States of America
⨯
Raymond P. Roos

Roles Conceptualization, Data curation, Investigation, Project administration, Supervision, Validation, Visualization, Writing – review & editing

* E-mail: rroos@neurology.bsd.uchicago.edu

Affiliations University of Chicago, Chicago, Illinois, United States of America, Department of Neurology, University of Chicago, Chicago, Illinois, United States of America

https://orcid.org/0000-0002-0613-4048

⨯

Machine learning predicts translation initiation sites in neurologic diseases with nucleotide repeat expansions

Alec C. Gleason,
Ghanashyam Ghadge,
Jin Chen,
Yoshifumi Sonobe,
Raymond P. Roos

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Published: June 1, 2022
https://doi.org/10.1371/journal.pone.0256411

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Protein translation
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Translation initiation
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Nucleotides
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Computer software
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Nucleotide sequencing
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Neural networks
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Machine learning
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Machine learning algorithms
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