A network clustering based feature selection strategy for classifying autism spectrum disorder

BACKGROUND: Advanced non-invasive neuroimaging techniques offer new approaches to study functions and structures of human brains. Whole-brain functional networks obtained from resting state functional magnetic resonance imaging has been widely used to study brain diseases like autism spectrum disord...

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Detalles Bibliográficos
Autores principales: Tang, Lingkai, Mostafa, Sakib, Liao, Bo, Wu, Fang-Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936069/
https://www.ncbi.nlm.nih.gov/pubmed/31888621
http://dx.doi.org/10.1186/s12920-019-0598-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936069/
https://www.ncbi.nlm.nih.gov/pubmed/31888621
http://dx.doi.org/10.1186/s12920-019-0598-0

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