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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...
Autores principales: | Tang, Lingkai, Mostafa, Sakib, Liao, Bo, Wu, Fang-Xiang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
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 |
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