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Studying Sub-Dendrograms of Resting-State Functional Networks with Voxel-Wise Hierarchical Clustering

Hierarchical clustering is a useful data-driven approach to classify complex data and has been used to analyze resting-state functional magnetic resonance imaging (fMRI) data and derive functional networks of the human brain at very large scale, such as the entire visual or sensory-motor cortex. In...

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Detalles Bibliográficos
Autores principales:	Wang, Yanlu, Msghina, Mussie, Li, Tie-Qiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2016
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781834/ https://www.ncbi.nlm.nih.gov/pubmed/27014015 http://dx.doi.org/10.3389/fnhum.2016.00075

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