Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Genetic Pathways Associated With Sleep Problems in Children With Autism Spectrum Disorder
por: Lin, Ping-I, et al.
Publicado: (2022) -
Identifying Direct Coercion in a High Risk Subgroup of Offender Patients With Schizophrenia via Machine Learning Algorithms
por: Günther, Moritz Philipp, et al.
Publicado: (2020) -
A Deep Learning Approach for Missing Data Imputation of Rating Scales Assessing Attention-Deficit Hyperactivity Disorder
por: Cheng, Chung-Yuan, et al.
Publicado: (2020) -
Neurodevelopmental Genes Have Not Read The DSM Criteria: Or, Have They?
por: Eapen, Valsamma
Publicado: (2012) -
Editorial: Gilles de la Tourette Syndrome: Cross-Cultural Perspectives With a Focus on the Asia-Pacific Region
por: Eapen, Valsamma
Publicado: (2021)