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...
| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Frontiers Media S.A.
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201101/ |