Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction

In this paper, we explore the effects of integrating multi-dimensional imaging genomics data for Alzheimer's disease (AD) prediction using machine learning approaches. Precisely, we compare our three recent proposed feature selection methods [i.e., multiple kernel learning (MKL), high-order gra...

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Detalles Bibliográficos
Autores principales: Zhang, Ziming, Huang, Heng, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201101/
https://www.ncbi.nlm.nih.gov/pubmed/25368574
http://dx.doi.org/10.3389/fnagi.2014.00260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201101/
https://www.ncbi.nlm.nih.gov/pubmed/25368574
http://dx.doi.org/10.3389/fnagi.2014.00260

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