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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Detalhes bibliográficos
Autor principal: Asif, Muhammad (author)
Outros Autores: 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)
Formato: article
Idioma:eng
Publicado em: 2021
Assuntos:
Autism
Autism Spectrum Disorder (ASD)
Neurodevelopmental Disorder
ASD Phenotype
Perturbações do Desenvolvimento Infantil e Saúde Mental
Texto completo:http://hdl.handle.net/10400.18/7319
País:Portugal
Oai:oai:repositorio.insa.pt:10400.18/7319

Texto Completo

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

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