Identifying the neurodevelopmental and psychiatric signatures of genomic disorders associated with intellectual disability: a machine learning approach

Identifying the neurodevelopmental and psychiatric signatures of genomic disorders associated with intellectual disability: a machine learning approach

Abstract Background Genomic conditions can be associated with developmental delay, intellectual disability, autism spectrum disorder, and physical and mental health symptoms. They are individually rare and highly variable in presentation, which limits the use of standard clinical guidelines for diag...

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Bibliographic Details
Main Authors: Nicholas Donnelly, Adam Cunningham, Sergio Marco Salas, Matthew Bracher-Smith, Samuel Chawner, Jan Stochl, Tamsin Ford, F. Lucy Raymond, Valentina Escott-Price, Marianne B. M. van den Bree
Format: Article
Language:English
Published: BMC 2023-05-01
Series:Molecular Autism
Subjects:
Intellectual disability
Genetic syndromes
Machine learning
Behavioural phenotypes
Online Access:https://doi.org/10.1186/s13229-023-00549-2

Internet

https://doi.org/10.1186/s13229-023-00549-2

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