Identifying Subgroups of Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms

Objectives: The identification of subgroups of autism spectrum disorder (ASD) may partially remedy the problems of clinical heterogeneity to facilitate the improvement of clinical management. The current study aims to use machine learning algorithms to analyze microarray data to identify clusters wi...

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Detalles Bibliográficos
Autores principales: Lin, Ping-I, Moni, Mohammad Ali, Gau, Susan Shur-Fen, Eapen, Valsamma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149626/
https://www.ncbi.nlm.nih.gov/pubmed/34054599
http://dx.doi.org/10.3389/fpsyt.2021.637022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149626/
https://www.ncbi.nlm.nih.gov/pubmed/34054599
http://dx.doi.org/10.3389/fpsyt.2021.637022

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