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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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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Frontiers Media S.A.
2014
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4201101/ https://ncbi.nlm.nih.gov/pubmed/25368574 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnagi.2014.00260 |
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