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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Detalles Bibliográficos
Autores principales: Asif, Muhammad, Martiniano, Hugo F. M. C., Marques, Ana Rita, Santos, João Xavier, Vilela, Joana, Rasga, Celia, Oliveira, Guiomar, Couto, Francisco M., Vicente, Astrid M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026098/
https://www.ncbi.nlm.nih.gov/pubmed/32066720
http://dx.doi.org/10.1038/s41398-020-0721-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026098/
https://www.ncbi.nlm.nih.gov/pubmed/32066720
http://dx.doi.org/10.1038/s41398-020-0721-1

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