A network clustering based feature selection strategy for classifying autism spectrum disorder
Abstract 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 spectru...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2019-12-01
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| Col·lecció: | BMC Medical Genomics |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s12920-019-0598-0 |
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