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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2023
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| _version_ | 1864513509221466112 |
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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> |
| eu_rights_str_mv | openAccess |
| id | Manara2_1834533a076dfa82ce6b2a30153bc058 |
| 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 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| 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 |