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Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection
In this paper, we present a novel method for obtaining a low dimensional representation of a complex brain network that: (1) can be interpreted in a neurobiologically meaningful way, (2) emphasizes group differences by accounting for label information, and (3) captures the variation in disease subty...
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| Publicado no: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5642982/ https://ncbi.nlm.nih.gov/pubmed/29046904 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-46720-7_20 |
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