Learning Schizophrenia Imaging Genetics Data Via Multiple Kernel Canonical Correlation Analysis

15 Sep 2016Owen RichfieldMd. Ashad AlamVince CalhounYu-Ping Wang

Kernel and Multiple Kernel Canonical Correlation Analysis (CCA) are employed to classify schizophrenic and healthy patients based on their SNPs, DNA Methylation and fMRI data. Kernel and Multiple Kernel CCA are popular methods for finding nonlinear correlations between high-dimensional datasets... (read more)

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