Editorial: Molecular advances and applications of machine learning in understanding autism and comorbid psychiatric disorders

<p dir="ltr">This editorial encapsulates 15 meticulously curated articles, contributing to the profound exploration of neurodevelopmental disorders (NDDs), with a distinct focus on autism spectrum disorder (ASD) and its intricate interplay with comorbid psychiatric conditions. The co...

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Main Author: Salam Salloum-Asfar (656363) (author)
Published: 2023
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author Salam Salloum-Asfar (656363)
author_facet Salam Salloum-Asfar (656363)
author_role author
dc.creator.none.fl_str_mv Salam Salloum-Asfar (656363)
dc.date.none.fl_str_mv 2023-08-31T06:00:00Z
dc.identifier.none.fl_str_mv 10.3389/fnmol.2023.1277814
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Editorial_Molecular_advances_and_applications_of_machine_learning_in_understanding_autism_and_comorbid_psychiatric_disorders/26535439
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biological sciences
Genetics
Biomedical and clinical sciences
Neurosciences
Information and computing sciences
Machine learning
autism
neurodevelopmental disorders
molecular factors
genomic
transcriptome
artificial intelligence
modeling
dc.title.none.fl_str_mv Editorial: Molecular advances and applications of machine learning in understanding autism and comorbid psychiatric disorders
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">This editorial encapsulates 15 meticulously curated articles, contributing to the profound exploration of neurodevelopmental disorders (NDDs), with a distinct focus on autism spectrum disorder (ASD) and its intricate interplay with comorbid psychiatric conditions. The contributions cast light on the intricate etiology and molecular mechanisms underlying these complex disorders. This Research Topic examines myriad dimensions, encompassing various facets, such as genetic predisposition, dynamic gene expression, signal transduction pathways, compensatory mechanisms, and neural network organization.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Molecular Neuroscience<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fnmol.2023.1277814" target="_blank">https://dx.doi.org/10.3389/fnmol.2023.1277814</a></p>
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identifier_str_mv 10.3389/fnmol.2023.1277814
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/26535439
publishDate 2023
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rights_invalid_str_mv CC BY 4.0
spelling Editorial: Molecular advances and applications of machine learning in understanding autism and comorbid psychiatric disordersSalam Salloum-Asfar (656363)Biological sciencesGeneticsBiomedical and clinical sciencesNeurosciencesInformation and computing sciencesMachine learningautismneurodevelopmental disordersmolecular factorsgenomictranscriptomeartificial intelligencemodeling<p dir="ltr">This editorial encapsulates 15 meticulously curated articles, contributing to the profound exploration of neurodevelopmental disorders (NDDs), with a distinct focus on autism spectrum disorder (ASD) and its intricate interplay with comorbid psychiatric conditions. The contributions cast light on the intricate etiology and molecular mechanisms underlying these complex disorders. This Research Topic examines myriad dimensions, encompassing various facets, such as genetic predisposition, dynamic gene expression, signal transduction pathways, compensatory mechanisms, and neural network organization.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Molecular Neuroscience<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fnmol.2023.1277814" target="_blank">https://dx.doi.org/10.3389/fnmol.2023.1277814</a></p>2023-08-31T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fnmol.2023.1277814https://figshare.com/articles/journal_contribution/Editorial_Molecular_advances_and_applications_of_machine_learning_in_understanding_autism_and_comorbid_psychiatric_disorders/26535439CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/265354392023-08-31T06:00:00Z
spellingShingle Editorial: Molecular advances and applications of machine learning in understanding autism and comorbid psychiatric disorders
Salam Salloum-Asfar (656363)
Biological sciences
Genetics
Biomedical and clinical sciences
Neurosciences
Information and computing sciences
Machine learning
autism
neurodevelopmental disorders
molecular factors
genomic
transcriptome
artificial intelligence
modeling
status_str publishedVersion
title Editorial: Molecular advances and applications of machine learning in understanding autism and comorbid psychiatric disorders
title_full Editorial: Molecular advances and applications of machine learning in understanding autism and comorbid psychiatric disorders
title_fullStr Editorial: Molecular advances and applications of machine learning in understanding autism and comorbid psychiatric disorders
title_full_unstemmed Editorial: Molecular advances and applications of machine learning in understanding autism and comorbid psychiatric disorders
title_short Editorial: Molecular advances and applications of machine learning in understanding autism and comorbid psychiatric disorders
title_sort Editorial: Molecular advances and applications of machine learning in understanding autism and comorbid psychiatric disorders
topic Biological sciences
Genetics
Biomedical and clinical sciences
Neurosciences
Information and computing sciences
Machine learning
autism
neurodevelopmental disorders
molecular factors
genomic
transcriptome
artificial intelligence
modeling