Identification of biological mechanisms underlying a multidimensional ASD phenotype using machine learning

The complex genetic architecture of Autism Spectrum Disorder (ASD) and its heterogeneous phenotype makes molecular diagnosis and patient prognosis challenging tasks. To establish more precise genotype-phenotype correlations in ASD, we developed a novel machine-learning integrative approach, which se...

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Bibliographic Details
Main Author: Asif, Muhammad (author)
Other Authors: Martiniano, Hugo F.M.C. (author), Marques, Ana Rita (author), Santos, João Xavier (author), Vilela, Joana (author), Rasga, Celia (author), Oliveira, Guiomar (author), Couto, Francisco M. (author), Vicente, Astrid M. (author)
Format: article
Language:eng
Published: 2021
Subjects:
Autism
Autism Spectrum Disorder (ASD)
Neurodevelopmental Disorder
ASD Phenotype
Perturbações do Desenvolvimento Infantil e Saúde Mental
Online Access:http://hdl.handle.net/10400.18/7319
Country:Portugal
Oai:oai:repositorio.insa.pt:10400.18/7319

Internet

http://hdl.handle.net/10400.18/7319

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