A deep learning model for prediction of autism status using whole-exome sequencing data

Qing Wu; Eric M. Morrow; Ece D. Gamsiz Uzun

doi:10.1371/journal.pcbi.1012468

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Open Access

Peer-reviewed

Research Article

A deep learning model for prediction of autism status using whole-exome sequencing data

Qing Wu,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliations Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island, United States of America, Center for Translational Neuroscience, Robert J. and Nancy D. Carney Institute for Brain Science and Brown Institute for Translational Science, Brown University, Providence, Rhode Island, United States of America, Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America

https://orcid.org/0000-0003-2606-6668

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Eric M. Morrow,

Roles Conceptualization, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

Affiliations Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island, United States of America, Center for Translational Neuroscience, Robert J. and Nancy D. Carney Institute for Brain Science and Brown Institute for Translational Science, Brown University, Providence, Rhode Island, United States of America, Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America, Developmental Disorders Genetics Research Program, Department of Psychiatry and Human Behavior, Emma Pendleton Bradley Hospital, East Providence, Rhode Island, United States of America
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Ece D. Gamsiz Uzun

Roles Conceptualization, Investigation, Supervision, Writing – original draft, Writing – review & editing

* E-mail: dilber_gamsiz@brown.edu

Affiliations Center for Translational Neuroscience, Robert J. and Nancy D. Carney Institute for Brain Science and Brown Institute for Translational Science, Brown University, Providence, Rhode Island, United States of America, Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America, Department of Pathology and Laboratory Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America, Department of Pathology and Laboratory Medicine, Rhode Island Hospital, Providence, Rhode Island, United States of America

https://orcid.org/0000-0003-4068-7153

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A deep learning model for prediction of autism status using whole-exome sequencing data

Qing Wu,
Eric M. Morrow,
Ece D. Gamsiz Uzun

Published: November 8, 2024
https://doi.org/10.1371/journal.pcbi.1012468

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Variant genotypes
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Gene ontologies
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Homozygosity
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