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Genomics- and image-guided subtyping refines characterization of Alzheimer’s disease

A new computational technique that combines genomic and tau PET imaging data promises a more personalized approach for subtyping Alzheimer’s disease. Based on a novel clustering framework using sparse canonical correlation analysis (SCCA), the integrated approach was successful in identifying four subtypes of Alzheimer’s disease and the top genes associated with each.