Predicting Autism Spectrum Disorder Using Blood-based Gene Expression Signatures and Machine Learning

OBJECTIVE: The aim of this study was to identify a transcriptomic signature that could be used to classify subjects with autism spectrum disorder (ASD) compared to controls on the basis of blood gene expression profiles. The gene expression profiles could ultimately be used as diagnostic biomarkers...

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Detalles Bibliográficos
Autores principales: Oh, Dong Hoon, Kim, Il Bin, Kim, Seok Hyeon, Ahn, Dong Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean College of Neuropsychopharmacology 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290715/
https://www.ncbi.nlm.nih.gov/pubmed/28138110
http://dx.doi.org/10.9758/cpn.2017.15.1.47

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290715/
https://www.ncbi.nlm.nih.gov/pubmed/28138110
http://dx.doi.org/10.9758/cpn.2017.15.1.47

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