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

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...

Full description

Bibliographic Details
Main Authors: Ping-I Lin, Mohammad Ali Moni, Susan Shur-Fen Gau, Valsamma Eapen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Psychiatry
Subjects:
autism spectrum disorder
genomics
social cognition
language
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2021.637022/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2021.637022/full

Similar Items